Factor Analysis
Data Base

Image Processing and Pattern Recognition

1. M. Celenk and I. Aljarrah "Internal shape-deformation invariant 3D surface matching using 2D principal component analysis" In: "Three-Dimensional Image Capture and Applications VII", Eds: B.D. Corner, P. Li, M. Tocheri, Proceedings of SPIE 6056, 60560D (2006)
2. R.M. Mutelo, L.C. Khor, W.L. Woo and S.S. Dlay "Two-dimensional reduction PCA: a novel approach for feature extraction, representation, and recognition" In: "Visualization and Data Analysis 2006", Eds: R.F. Erbacher, J.C. Roberts, M.T. Gr?hn, K. Börner, Proceedings of SPIE 6060, 60600E (2006)
3. D. Zhang, Z-H. Zhou and S. Chen "Diagonal principal component analysis for face recognition" Pattern Recognition 39, 1, 140-142 (2006)

1. A. Alsamman and M.S. Alam "Comparative study of face recognition techniques that use joint transform correlation and principal component analysis" Applied Optics 44, 5, 688-692 (2005)
2. W. Chen, M.J. Er, and S. Wu "PCA and LDA in DCT domain" Pattern Recognition Letters 26, 15, 2474-2482 (2005)
3. M. Daigo "Factor analysis and pattern decomposition method" In: "MIPPR 2005: SAR and Multispectral Image Processing", Eds: L. Zhang, J. Zhang, and M. Liao, Proceedings of SPIE 6043, 604317 (2005)
4. L.A. Dawson, M. Biersack, G. Lockwood, A. Eisbruch, T.S. Lawrence and R.K. Ten Haken "Use of principal component analysis to evaluate the partial organ tolerance of normal tissues to radiation" International Journal of Radiation Oncology, Biology, Physics 62, 3, 829-837 (2005)
5. Y-L. Huang, S-J. Kuo, C-S. Chang, Y-K. Liu, W.K. Moon, and D-R. Chen "Image retrieval with principal component analysis for breast cancer diagnosis on various ultrasonic systems" Ultrasound in Obstetrics and Gynecology 26, 5, 558-566 (2005)
6. N. Katsumata and Y. Matsuyama "Database retrieval for similar images using ICA and PCA bases" Engineering Applications of Artificial Intelligence 18, 6, 705-717 (2005)
7. H. Kong, L. Wang, E.K. Teoh, X. Li, J-G. Wang and R. Venkateswarlu "Generalized 2D principal component analysis for face image representation and recognition" Neural Networks 18, 5-6, 585-594 (2005)
8. M.E. Köse, A. Omar, C.A. Virgin, B.F. Carroll, and K.S. Schanze "Principal Component Analysis Calibration Method for Dual-Luminophore Oxygen and Temperature Sensor Films: Application to Luminescence Imaging" Langmuir 21, 20, 9110-9120 (2005)
9. N. Mashal, M. Faust and T. Hendler "The role of the right hemisphere in processing nonsalient metaphorical meanings: Application of Principal Components Analysis to fMRI data" Neuropsychologia 43, 14, 2084-2100 (2005)
10. A. Nagy, A. Kuba and M. Samal "Reconstruction of factor structures using discrete tomography method" Electronic Notes in Discrete Mathematics 20, 519-534 (2005)
11. K. Nishino, S.K. Nayar and T. Jebara "Clustered blockwise PCA for representing visual data" IEEE Transactions on Pattern Analysis and Machine Intelligence 27, 10, 1675-1679 (2005)
12. R. Pilgram, K.D. Fritscher, R.H. Zwick, M.F. Schocke, T. Trieb, O. Pachinger and R. Schubert "Shape analysis of healthy and diseased cardiac ventricles using PCA" International Congress Series - CARS 2005: Computer Assisted Radiology and Surgery1281, 357-362 (2005)
13. A.N. Rajagopalan, R. Chellappa, and N.T. Koterba "Background learning for robust face recognition with PCA in the presence of clutter" IEEE Transactions on Image Processing 14, 6, 832-843 (2005)
14. R. Saegusa, H. Sakano and S. Hashimoto "A Nonlinear Principal Component Analysis of Image Data" IEICE Transactions on Information and Systems E88-D, 10, 2242-2248 (2005)
15. M. Sengel and H. Bischof "Efficient representation of in-plane rotation within a PCA framework" Image and Vision Computing 23, 12, 1051-1059 (2005)
16. J. Sun,Y. Jiang and S. Zeng "A study of PCA image fusion techniques on remote sensing" In: "International Conference on Space Information Technology", Eds: C. Wang, S. Zhong, X. Hu, Proceedings of SPIE 5985, 59853X (2005)
17. K. Tan and S. Chen "Adaptively weighted sub-pattern PCA for face recognition" Neurocomputing 64, 505-511 (2005)
18. D-Y. Tzeng and R.S. Berns "A review of principal component analysis and its applications to color technology" Color Research & Application 30, 2, 84-98 (2005)
19. R. Vidal, Y. Ma and S. Sastry "Generalized principal component analysis (GPCA)" IEEE Transactions on Pattern Analysis and Machine Intelligence 27, 12, 1945-1959 (2005)
20. R. Viviani, G. Grön and M. Spitzer "Functional principal component analysis of fMRI data" Human Brain Mapping 24, 2, 109-129 (2005)
21. L. Wang, X. Wang, X. Zhang and J. Feng "The equivalence of two-dimensional PCA to line-based PCA" Pattern Recognition Letters 26, 1, 57-60 (2005)
22. F. Wu and Y. Jia "Classification of multi-spectral remote sensing image using principal component analysis & BP neural network" In: "MIPPR 2005: SAR and Multispectral Image Processing", Eds: L. Zhang, J. Zhang, and M. Liao, Proceedings of SPIE 6043, 60432C (2005)
23. J. Yang, A.F. Frangi, J-Y. Yang, D. Zhang and Z. Jin "KPCA Plus LDA: A Complete Kernel Fisher Discriminant Framework for Feature Extraction and Recognition" IEEE Transactions on Pattern Analysis and Machine Intelligence 27, 2, 230-244 (2005)
24. W. Yang, D. Zhao, Q. Huang, P. Ren, J. Feng and X. Zhang "Classification of emerald based on multispectral image and PCA" In: "Electronic Imaging and Multimedia Technology IV", Eds: C-S. Li, M.M. Yeung, Proceedings of SPIE 5637, 684-692 (2005)
25. D. Zhang and Z-H. Zhou "(2D)²PCA: Two-directional two-dimensional PCA for efficient face representation and recognition" Neurocomputing 69, 1-3, 224-231 (2005)
26. Q. Zhao and H. Lu "A PCA-based watermarking scheme for tamper-proof of web pages" Pattern Recognition 38, 8, 1321-1323 (2005)

1. A. Ahmadi, S. Omatu, T. Fujinaka and T. Kosaka "Improvement of reliability in banknote classification using reject option and local PCA" Information Sciences 168, 1-4, 277-293 (2004)
2. C. Bonifazzi, E. Lodi, G. Maino, V. Muzzioli, L. Nanetti, N. Ludwig, M. Milazzo and A. Tartari "Investigation of defects in Fresco substrates by means of the ECoSp imaging system and the principal component image analysis" Nuclear Instruments and Methods in Physics Research B213, 707-711 (2004)
3. Y-W. Chen and X-Y. Zeng "Image Feature Representation by the Subspace of Nonlinear PCA" In: "Knowledge-Based Intelligent Information and Engineering Systems", 8th International Conference, KES 2004, Wellington, New Zealand, September 20-25, 2004, Proceedings, Part II, Eds.: M.Gh. Negoita, R.J. Howlett, and L.C. Jain, Lecture Notes in Computer Science 3214, 2, 337-343 (2004)
4. S. Cooray and N. O'Connor "Facial Feature Extraction and Principal Component Analysis for Face Detection in Color Images" In: "Image Analysis and Recognition": International Conference ICIAR 2004, Porto, Portugal, September 29 - October 1, 2004, Proceedings, Part II Eds.: A. Campilho and M. Kamel. Lecture Notes in Computer Science 3212, 2, 741-749 (2004)
5. J.W. Davis and H. Gao "Gender Recognition from Walking Movements using Adaptive Three-Mode PCA" IEEE Proceedings on Computer Vision and Pattern Recognition, 2004 Workshop, 9 (2004)
6. J. Fortuna and D. Capson "Improved support vector classification using PCA and ICA feature space modification" Pattern Recognition 37, 6, 1117-1129 (2004)
7. R. Gottumukkal and V.K. Asari "An improved face recognition technique based on modular PCA approach" Pattern Recognition Letters 25, 4, 429-436 (2004)
8. D.S. Guru and P. Punitha "An invariant scheme for exact match retrieval of symbolic images based upon principal component analysis" Pattern Recognition Letters 25, 1, 73-86 (2004)
9. T.D. Hien, Y-W. Chen, and Z. Nakao "Robust Digital Watermarking Based on Principal Component Analysis" International Journal of Computational Intelligence and Applications 4, 2, 183-192 (2004)
10. Z. Jin, F. Davoine and Z. Lou "An Effective EM Algorithm for PCA Mixture Model" In: "Structural, Syntactic, and Statistical Pattern Recognition", Joint IAPR International Workshops, SSPR 2004 and SPR 2004, Lisbon, Portugal, August 18-20, 2004. Proceedings, Eds.: A. Fred, T. Caelli, R.P.W. Duin, et al., Lecture Notes in Computer Science 3138, 626-634 (2004)
11. J.O. Kim, S.J. Seo and C.H. Chung "Real-Time Face Recognition by the PCA (Principal Component Analysis) with Color Images" In: "Computational Science - ICCS 2004", 4th International Conference, Kraków, Poland, June 6-9, 2004, Proceedings, Part I, Eds.: M. Bubak, G.D. van Albada, P.M.A. Sloot et al., Lecture Notes in Computer Science 3036, 687-690 (2004)
12. J.O. Kim, S.J. Seo, C.H. Chung, J. Hwang and W. Lee "Face Detection by Facial Features with Color Images and Face Recognition Using PCA" In: "Computational Science and Its Applications - ICCSA 2004", International Conference, Assisi, Italy, May 14-17, 2004, Proceedings, Part I, Eds.: A. Laganà, M.L. Gavrilova, V. Kumar, et al., Lecture Notes in Computer Science 3043, 1, 1-8 (2004)
13. K-A. Kim, S-Y. Oh and H-C. Choi "Facial feature extraction using PCA and wavelet multi-resolution images" IEEE Proceedings on Automatic Face and Gesture Recognition, Sixth IEEE International Conference 2, 439-444 (2004)
14. A.P. Kumar, S. Das and V. Kamakoti "Face Recognition Using Weighted Modular Principle Component Analysis" In: "Neural Information Processing", 11th International Conference, ICONIP 2004, Calcutta, India, November 22-25, 2004. Proceedings Eds.: N.R. Pal, N. Kasabov, R.K. Mudi et al., Lecture Notes in Computer Science 3316, 362-367 (2004)
15. W-C. Lee and Y-H Shu "Mapping Disease-Susceptibility Genes in Admixed Populations Using Interval Principal Component Tests" Behavior Genetics 25, 34, 5, 525-531 (2004)
16. C. Liu "Gabor-based kernel PCA with fractional power polynomial models for face recognition" IEEE Transactions on Pattern Analysis and Machine Intelligence 26, 5, 572-581 (2004)
17. A.M.C. Machado, J.C. Gee and M.F.M. Campos "Structural shape characterization via exploratory factor analysis" Artificial Intelligence in Medicine 30, 2, 97-118 (2004)
18. S. Marinetti, E. Grinzato, P.G. Bison, E. Bozzi, M. Chimenti, G. Pieri and O. Salvetti "Statistical analysis of IR thermographic sequences by PCA" Infrared Physics and Technology 46, 1-2, 85-91 (2004)
19. J. Meltzer, M-H. Yang, R. Gupta and S. Soatto "Multiple View Feature Descriptors from Image Sequences via Kernel Principal Component Analysis " In: "Computer Vision - ECCV 2004", 8th European Conference on Computer Vision, Prague, Czech Republic, May 11-14, 2004. Proceedings, Part I, Eds.: T. Pajdla and J. Matas, Lecture Notes in Computer Science 3021, 1, 215-227 (2004)
20. M. Nakano, F. Yasukata and M. Fukumi "Recognition of Smiling Faces Using Neural Networks and SPCA" International Journal of Computational Intelligence and Applications 4, 2, 153-163 (2004)
21. S. Ozawa, S. Pang and N. Kasabov "A Modified Incremental Principal Component Analysis for On-Line Learning of Feature Space and Classifier" In: "PRICAI 2004: Trends in Artificial Intelligence", 8th Pacific Rim International Conference on Artificial Intelligence, Auckland, New Zealand, August 9-13, 2004. Proceedings Eds.: C. Zhang, H.W. Guesgen and W.K. Yeap. Lecture Notes in Computer Science 3157, 231-240 (2004)
22. V. Perlibakas "Distance measures for PCA-based face recognition" Pattern Recognition Letters 25, 6, 711-724 (2004)
23. K.M. Pohl, S.K. Warfield, R. Kikinis, W.E.L. Grimson and W.M. Wells "Coupling Statistical Segmentation and PCA Shape Modeling" In: "Medical Image Computing and Computer-Assisted Intervention - MICCAI 2004", 7th International Conference, Saint-Malo, France, September 26-29, 2004. Proceedings, Part I, Eds.: C. Barillot, D.R. Haynor and P. Hellier, Lecture Notes in Computer Science 3216, 1, 151-159 (2004)
24. Y. Pu, K. Liao, J. Zhou and N. Zhang "A public adaptive watermark algorithm for color images based on principal component analysis of generalized hebb" IEEE Proceedings on Information Acquisition, 2004 International Conference, 484-488 (2004)
25. M.E. Ragab, A.M. Darwish, E.M. Abed and S.I. Shaheen "Face Recognition Using Principal Component Analysis Applied to an Egyptian Face Database" In: "Multiple Approaches to Intelligent Systems", 12th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems IEA/AIE-99, Cairo, Egypt, May 31 - June 3, 1999. Proceedings, Eds.: I. Imam, Y. Kodratoff, A.El-Dessouki, Lecture Notes in Computer Science 1611, 540-549 (2004)
26. Z. Riaz, A. Gilgiti and S.M. Mirza "Face recognition: a review and comparison of HMM, PCA, ICA and neural networks" IEEE E-Tech 2004, 41-46 (2004)
27. P.A. Sample, K. Chan, C. Boden, T-W. Lee, E.Z. Blumenthal, R.N. Weinreb, A. Bernd, J. Pascual, J. Hao, T. Sejnowski, and M.H. Goldbaum "Using Unsupervised Learning with Variational Bayesian Mixture of Factor Analysis to Identify Patterns of Glaucomatous Visual Field Defects" Investigative Ophthalmology and Visual Science 45, 8, 2596-2605 (2004)
28. R.W. Swiniarski and A. Skowron "Independent Component Analysis, Principal Component Analysis and Rough Sets in Face Recognition" In: "Transactions on Rough Sets I", Eds.: J.F. Peters, A. Skowron et al., Lecture Notes in Computer Science 3100, 392-404 (2004)
29. C.M. Theobald, C.A. Glasbey, G.W. Horgan and C.D. Robinson "Principal component analysis of landmarks from reversible images" Journal of the Royal Statistical Society: Series C (Applied Statistics) 53, 1, 163-175 (2004)
30. M.A. Vicente, C. Fernández, O. Reinoso and L. Payá "3D Object Recognition from Appearance: PCA Versus ICA Approaches" In: "Image Analysis and Recognition", International Conference ICIAR 2004, Porto, Portugal, September 29 - October 1, 2004, Proceedings, Part I Eds.: A. Campilho and M. Kamel, Lecture Notes in Computer Science 3211, 2, 547-555 (2004)
31. R. Vidal, Y. Ma and J. Piazzi "A new GPCA algorithm for clustering subspaces by fitting, differentiating and dividing polynomials" IEEE Proceedings on Computer Vision and Pattern Recognition, CVPR 2004 - Computer Society Conference 1, 510-517 (2004)
32. M. Visani, C. Garcia and C. Laurent "Comparing Robustness of Two-Dimensional PCA and Eigenfaces for Face Recognition" In: "Image Analysis and Recognition", International Conference ICIAR 2004, Porto, Portugal, September 29 - October 1, 2004, Proceedings, Part II Eds.: A. Campilho and M. Kamel, Lecture Notes in Computer Science 3212, 2, 717-724 (2004)
33. Y. Washizawa, K. Hikida, T. Tanaka and Y. Yamashita "Kernel Relative Principal Component Analysis for Pattern Recognition" In: "Structural, Syntactic, and Statistical Pattern Recognition", Joint IAPR International Workshops, SSPR 2004 and SPR 2004, Lisbon, Portugal, August 18-20, 2004, Proceedings. Eds.: A. Fred, T. Caelli, R.P.W. Duin, et al., Lecture Notes in Computer Science 3138, 1105-1113 (2004)
34. C-Y. Wu, M-T. Lo, J. Tsao, A. Chu, Y-H. Chou and C-M. Tiu "Factor analysis in both spatial and temporal domains of color blooming artifacts in ultrasound investigations utilizing contrast agents" Computerized Medical Imaging and Graphics 28, 3, 129-140 (2004)
35. J. Yang, D. Zhang, A.F. Frangi, and J.Y. Yang "Two-dimensional PCA: a new approach to appearance-based face representation and recognition" IEEE Transactions Pattern Analysis and Machine Intelligence 26, 1, 131-137 (2004)
36. X. Zhang and D.C. Hood "A principal component analysis of multifocal pattern reversal VEP" Journal of Vision 4, 1, 32-43 (2004)
37. X. Zhang and D. Hood "Increasing the sensitivity of the multifocal visual evoked potential (mfVEP) technique: incorporating information from higher order kernels using a principal component analysis method" Documenta Ophthalmologica 108, 3, 211-222 (2004)
38. L-W. Zhao, S-W. Luo and L-Z. Liao "3D object recognition and pose estimation using kernel PCA" IEEE Proceedings on Machine Learning and Cybernetics, 2004 International Conference 5, 3258-3263 (2004)

1. N. Le Bihan and S.J. Sangwine "Quaternion principal component analysis of color images" IEEE Proceedings on Image Analysis and Processing, 2003 International Conference 1, I-809-12 (2003)
2. M.H. Brill "A non-PC look at principal components" Color Research & Application 28, 1, 69-71 (2003)
3. X. Chen, P.J. Flynn and K.W. Bowyer "PCA-based face recognition in infrared imagery: baseline and comparative studies" IEEE Proceedings on Analysis and Modeling of Faces and Gestures, AMFG 2003 - IEEE International Workshop 127-134 (2003)
4. S-C. Cheng and S-C. Hsia "Fast algorithms for color image processing by principal component analysis" Journal of Visual Communication and Image Representation 14, 2, 184-203 (2003)
5. C. Conde, A. Ruiz and E. Cabello "PCA vs low resolution images in face verification" IEEE Proceedings on Image Analysis and Processing, 12th International Conference, 63-67 (2003)
6. W. D'haes, D. van Dyck and X. Rodet "PCA-based branch and bound search algorithms for computing K nearest neighbors" Pattern Recognition Letters 24, 9-10, 1437-1451 (2003)
7. A.E. Dityatev, R.Sh. Altinbaev, A.V. Astrelin and L.L. Voronin "Combining principal component and spectral analyses with the method of moments in studies of quantal transmission" Journal of Neuroscience Methods 130, 2, 173-199 (2003)
8. B.A. Draper, K. Baek, M.S. Bartlett and J.R. Beveridge "Recognizing faces with PCA and ICA" Computer Vision and Image Understanding 91, 1-2, 115-137 (2003)
9. P.T. Fletcher and S.G. Kong "Principal component analysis for poultry tumor inspection using hyperspectral fluorescence imaging" IEEE Proceedings on Neural Networks, 2003 International Joint Conference 1, 149-153 (2003)
10. P.T. Fletcher, C. Lu and S. Joshi "Statistics of shape via principal geodesic analysis on Lie groups" IEEE Proceedings on Computer Vision and Pattern Recognition, 2003 Computer Society Conference 1, 95-101 (2003)
11. R.H. Glendinning and R.A. Herbert "Shape classification using smooth principal components" Pattern Recognition Letters 24, 12, 2021-2030 (2003)
12. K.L. Gunther and K.R. Dobkins "Independence of mechanisms tuned along cardinal and non-cardinal axes of color space: evidence from factor analysis" Vision Research 43, 6, 683-696 (2003)
13. S.P. Gurden, E.M. Lage, C.G. de Faria, I. Joekes and M.M.C. Ferreira "Analysis of video images from a gas-liquid transfer experiment: a comparison of PCA and PARAFAC for multivariate image analysis" Journal of Chemometrics 17, 7, 400-412 (2003)
14. I. Gurevich, D. Harazishvili, I. Jernova, A. Nefyodov, A. Trykova and I. Vorobjev "Discriminative Power of Lymphoid Cell Features: Factor Analysis Approach" In: "Progress in Pattern Recognition, Speech and Image Analysis", 8th Iberoamerican Congress on Pattern Recognition, CIARP 2003, Lecture Notes in Computer Science 2905, 298-305 (2003)
15. T.D. Hien, Y-W. Chen and Z. Nakao "PCA Based Digital Watermarking" In: "Knowledge-Based Intelligent Information and Engineering Systems", 7th International Conference, KES 2003 Oxford, UK, September 3-5, 2003 Proceedings, Part I, Lecture Notes in Computer Science 2773, 1, 1427-1434 (2003)
16. K. Hotta "View-invariant face detection method based on local PCA cells" IEEE Proceedings on Image Analysis and Processing, 12th International Conference, 57-62 (2003)
17. H-C. Kim, D. Kim and S.Y. Bang "An efficient model order selection for PCA mixture model" Pattern Recognition Letters 24, 9-10, 1385-1393 (2003)
18. H-C. Kim, D. Kim and S.Y. Bang "Extensions of LDA by PCA mixture model and class-wise features" Pattern Recognition 36, 5, 1095-1105 (2003)
19. A. Kohler, V. Host, G. Enersen, and R. Ofstad "Identification of fat, protein matrix, and water/starch on microscopy images of sausages by a principal component analysis-based segmentation scheme" Scanning 25, 3, 109-115 (2003)
20. E.E. Kuruoglu, L. Bedini, M.T. Paratore, E. Salerno and A. Tonazzini "Source separation in astrophysical maps using independent factor analysis" Neural Networks 16, 3-4, 479-491 (2003)
21. S. Lee, H-C. Kim, D. Kim and Y.S. Choi "Face Retrieval Using 1st- and 2nd-order PCA Mixture Model" Lecture Notes in Computer Science 2668, 391-400 (2003)
22. Y. Lee, J. Lee and K.Y. Lee "Efficient Speaker Identification Based on Robust VQ-PCA" Lecture Notes in Computer Science 2668, 992-999 (2003)
23. Y. Lee, J. Lee and K.Y. Lee "PCA Fuzzy Mixture Model for Speaker Identification" In: "Intelligent Data Engineering and Automated Learning ", Lecture Notes in Computer Science 2690, 992-999 (2003)
24. Y. Li, L.-Q. Xu, J. Morphett and R. Jacobs "An integrated algorithm of incremental and robust PCA" IEEE Proceedings on Image Analysis and Processing, 2003 International Conference 1, I-245-8 (2003)
25. Z-Y. Liu, K-C. Chiu and L. Xu "Strip line detection and thinning by RPCL-based local PCA" Pattern Recognition Letters 24, 14, 2335-2344 (2003)
26. Z-Y. Liu, K-C. Chiu and L. Xu "Local PCA for Strip Line Detection and Thinning" In: "Energy Minimization Methods in Computer Vision and Pattern Recognition", 4th International Workshop, EMMCVPR 2003 Lisbon, Portugal, July 7-9, 2003 Proceedings, Eds.: A. Rangarajan, M. Figueiredo and J. Zerubia, Lecture Notes in Computer Science 2683, 21-34 (2003)
27. Z-Y. Liu and L. Xu "Topological local principal component analysis" Neurocomputing 55, 3-4, 739-745 (2003)
28. A.M.C. Machado and C.N.J. Marinho "An image retrieval method based on factor analysis" IEEE Proceedings on Computer Graphics and Image Processing, SIBGRAPI 2003 - XVI Brazilian Symposium 2, 191-196 (2003)
29. E. Marengo, E. Robotti, P.G. Righetti and F. Antonucci "New approach based on fuzzy logic and principal component analysis for the classification of two-dimensional maps in health and disease. Application to lymphomas" Journal of Chromatography A 1004, 1-2, 13-28 (2003)
30. M.E.M. Musa, R.P.W. Duin, D. de Ridder and V. Atalay "Texture Segmentation Using the Mixtures of Principal Component Analyzers" In: "Computer and Information Sciences - ISCIS 2003", Lecture Notes in Computer Science 2869, 505-512 (2003)
31. M. Nakano, Y. Mitsukura, M. Fukumi, N. Akamatsu and F. Yasukata "True Smile Recognition Using Neural Networks and Simple PCA " In: "Knowledge-Based Intelligent Information and Engineering Systems", 7th International Conference, KES 2003 Oxford, UK, September 3-5, 2003 Proceedings, Part I, Lecture Notes in Computer Science 2773, 1, 631-637 (2003)
32. Y. Nara, J. Yang and Y. Suematsu "Face recognition using improved principal component analysis" IEEE Proceedings on Micromechatronics and Human Science, MHS 2003 International Symposium, 77-82 (2003)
33. N.G. Papadakis, Y. Zheng, and I.D. Wilkinson "Analysis of diffusion tensor magnetic resonance imaging data using principal component analysis" Physics in Medicine and Biology 48, 24, N343-N350 (2003)
34. J-S. Park, Y.H. Oh , S.C. Ahn, S-W. Lee "Glasses Removal from Facial Image Using Recursive PCA Reconstruction" In: "Intelligent Data Engineering and Automated Learning ", Lecture Notes in Computer Science 2688, 369-376 (2003)
35. B. Qiu, V. Prinet, E. Perrier, and O. Monga "Multi-block PCA method for image change detection" IEEE Proceedings on Image Analysis and Processing, 12th International Conference, 385-390 (2003)
36. G. Serpen, R. Iyer, H.M. Elsamaloty and E.I. Parsai "Automated lung outline reconstruction in ventilation–perfusion scans using principal component analysis techniques" Computers in Biology and Medicine 33, 2, 119-142 (2003)
37. B. Thirion and O. Faugeras "Dynamical components analysis of fMRI data through kernel PCA" NeuroImage 20, 1, 34-49 (2003)
38. C.J. Twining and C.J. Taylor "The use of kernel principal component analysis to model data distributions" Pattern Recognition 36, 1, 217-227 (2003)
39. J.S. Tyo, A. Konsolakis, D.I. Diersen and R.C. Olsen "Principal-components-based display strategy for spectral imagery" IEEE Transactions on Geoscience and Remote Sensing 41, 3, 708-718 (2003)
40. M. Üzümcü, A.F. Frangi, M. Sonka, J.H.C. Reiber and B.P.F. Lelieveldt "ICA vs. PCA Active Appearance Models: Application to Cardiac MR Segmentation" In: "Medical Image Computing and Computer-Assisted Intervention - MICCAI 2003 ", Lecture Notes in Computer Science 2878, 451-458 (2003)
41. E. Vázquez-Martínez "A travelling wave distance protection using principal component analysis" International Journal of Electrical Power & Energy Systems 25, 6, 471-479 (2003)
42. R. Vidal, Y. Ma and S. Sastry "Generalized principal component analysis (GPCA)" IEEE Proceedings on Computer Vision and Pattern Recognition, 2003 IEEE Computer Society Conference 1, 621-628 (2003)
43. P.A. Watters "Distribured Variance in Localized Principal Components of Whitened Natural Scenes" International Journal of Pattern Recognition and Artificial Intelligence 17, 8, 1431-1446 (2003)
44. H. Witjes, M. Rijpkema, M. van der Graaf, W. Melssen, A. Heerschap and L. Buydens "Multispectral magnetic resonance image analysis using principal component and linear discriminant analysis" Journal of Magnetic Resonance Imaging 17, 2, 261-269 (2003)
45. J. Yang and J-Y. Yang "Why can LDA be performed in PCA transformed space?" Pattern Recognition 36, 2, 563-566 (2003)
46. Y. Zheng, M. Hasegawa-Johnson and S. Pizza "Analysis of the three-dimensional tongue shape using a three-index factor analysis model" Journal of the Acoustical Society of America 113, 1, 478-486 (2003)
47. G. Zuendorf , N. Kerrouche, K. Herholz and J-C. Baron "Efficient principal component analysis for multivariate 3D voxel-based mapping of brain functional imaging data sets as applied to FDG-PET and normal aging" Human Brain Mapping 18, 1, 13-21 (2003)

1. M. Artac, M. Jogan and A.. Leonardis "Incremental PCA for on-line visual learning and recognition" IEEE Proceedings on Pattern Recognition, 16th International Conference <3>, 781-784 (2002)
2. K. Baek and B.A. Draper "Factor analysis for background suppression" IEEE Proceedings on Pattern Recognition, 16th International Conference 2, 643-646 (2002)
3. P. Bazanov, T-K. Kim, S. Cheol, K. Sang and U. Lee "Hybrid and parallel face classifier based on artificial neural networks and principal component analysis" IEEE Proceedings on Image Processing, 2002 International Conference 1, 916-919 (2002)
4. M.C. Biesinger, P.Y. Paepegaey, N.S. McIntyre, R.R. Harbottle and N.O. Petersen "Principal component analysis of TOF-SIMS images of organic monolayers" Analytical Chemistry 74, 22, 5711-5716 (2002)
5. J-W. Deng and H.T. Tsui "A novel two-layer PCA/MDA scheme for hand posture recognition" IEEE Proceedings on Pattern Recognition, 16th International Conference 1, 283-286 (2002)
6. C. Drexler, F. Mattern and J. Denzler "Appearance Based Generic Object Modeling and Recognition Using Probabilistic Principal Component Analysis" In: "Pattern Recognition", 24th DAGM Symposium, Zurich, Switzerland, September 16-18, 2002. Proceedings, Ed.: L. Van Gool, Lecture Notes in Computer Science 2449, 100-108 (2002)
7. F. Frouin, A. Delouche, E. Abergel, H. Raffoul, H. Diebold and B. Diebold "Apport d' une analyse factorielle a l' etude de mouvements : Application preliminaire a la detection par echocardiographie des troubles de la contraction segmentaire du ventricule gauche ischemique. [Value of factor analysis in a wall motion study: preliminary application in the detection of left ventricular segmental contraction ischemic disorders by echocardiography]" Journal de Radiologie 83, 12, Pt. 1, 1835-1841 (2002)
8. M. Funaro, M. Marinaro, A. Petrosino and S. Scarpetta "Finding Hidden Events in Astrophysical Data using PCA and Mixture of Gaussians Clustering " Pattern Analysis & Applications 5, 1, 15-22 (2002)
9. M.H. Goldbaum, P.A. Sample, K. Chan, T-W. Lee, D. McGuire, T.J. Sejnowski and R.N. Weinreb "Analysis of Glaucomatous Visual Field Patterns Found with Unsupervised Learning Using Indpendent Component Analysis and Principal Component Analysis" Investigative Ophthalmology & Visual Science 43, 12, 2178 (2002)
10. K-F. Hwang and C-C. Chang "A fast pixel mapping algorithm using principal component analysis" Pattern Recognition Letters 23, 14, 1747-1753 (2002)
11. M.F. Janier, A.N. Mazzadi, M. Lionnet, F. Frouin, X. André-Fouët, L. Cinotti, D. Revel and P. Croisille "Factor Analysis of Medical Image Sequences Improves Evaluation of First-Pass MR Imaging Acquisitions for Myocardial Perfusion" Academic Radiology 9, 1, 26-39 (2002)
12. K.J. Johnson and R.E. Synovec "Pattern recognition of jet fuels: comprehensive GCªGC with ANOVA-based feature selection and principal component analysis" Chemometrics and Intelligent Laboratory Systems 60, 1-2, 225-237 (2002)
13. E. Kahn, G. Lizard, S. Monier, G. Bessède, F. Frouin, P. Gambert and A. Todd-Pokropek "Flow Cytometry and Factor Analysis Evaluation of Confocal Image Sequences of Morphologic and Functional Changes Occurring at the Mitochondrial Level During 7-Ketocholesterol-Induced Cell Death" Analytical and Quantitative Cytology and Histology 24, 355-362 (2002)
14. H-C. Kim, D. Kim and S.Y. Bang "A numeral character recognition using the PCA mixture model" Pattern Recognition Letters 23, 1-3, 103-111 (2002)
15. H-C. Kim, D. Kim and S.Y. Bang "Face retrieval using 1st- and 2nd-order PCA mixture model" IEEE Proceedings on Image Processing, 2002 International Conference 2, 605-608 (2002)
16. C-W. Lee, Y-C. Lee, S-Y. Bak, H-J. Kim "Real-Time Face Detection and Tracking Using PCA and NN" In: "PRICAI 2002: Trends in Artificial Intelligence", 7th Pacific Rim International Conference on Artificial Intelligence, Tokyo, Japan, August 18-22, 2002. Proceedings, Eds.: M. Ishizuka and A. Sattar, Lecture Notes in Computer Science 2417, 615 (2002)
17. R. Lenz "Two stage principal component analysis of color" IEEE Transactions on Image Processing 11, 6, 630-635 (2002)
18. J.M. López-Alonso and J. Alda "Bad pixel identification by means of principal components analysis" Optical Engineering 41, 9, 2152-2157 (2002)
19. J.M. López-Alonso, J. Alda, and E. Bernabeu "Principal-component characterization of noise for infrared images" Applied Optics - IP 41, 2, 320-331 (2002)
20. M. Macías-Macías, C.J. García-Orellana, H.M. González-Velasco, R. Gallardo-Caballero and A. Serrano-Pérez "A Comparison of PCA and GA Selected Features for Cloud Field Classification" In: "Advances in Artificial Intelligence - IBERAMIA 2002", 8th Ibero-American Conference on AI, Seville, Spain, November 12-15, 2002. Proceedings, Eds.: F.J. Garijo, J.C. Riquelme and M. Toro, Lecture Notes in Computer Science 2527, 42-49 (2002)
21. I. Magrin-Chagnolleau, G. Durou and F. Bimbot "Application of time-frequency principal component analysis to text-independent speaker identification" IEEE Transactions on Speech and Audio Processing 10, 6, 371-378 (2002)
22. G.L. Marcialis and F. Roli "Fusion of LDA and PCA for Face Verification" In: "Artificial Neural Networks - ICANN 2002", International Conference, Madrid, Spain, August 28-30, 2002. Proceedings, Ed.: J.R. Dorronsoro, Lecture Notes in Computer Science 2359, 30-38 (2002)
23. B. Moghaddam "Principal manifolds and probabilistic subspaces for visual recognition" IEEE Transactions on Pattern Recognition and Machine Intelligence <24>, 6, 780-788 (2002)
24. V. Popovici and J-P. Thiran "PCA in autocorrelation space" IEEE Proceedings on Pattern Recognition, 16th International Conference <2>, 132-135 (2002)
25. R. Ramamoorthi "Analytic PCA Construction for Theoretical Analysis of Lighting Variability in Images of a Lambertian Object" IEEE Transactions on Pattern Analysis and Machine Intelligence 24, 10, 1322-1333 (2002)
26. S.A. Rizvi and N.M. Nasrabadi "A modular clutter rejection technique for FLIR imagery using region-based principal component analysis" Pattern Recognition 35, 12, 2895-2904 (2002)
27. C. Schiepers, C.K. Hoh, J. Nuyts, H-M. Wu, M.E. Phelps and M. Dahlbom "Factor analysis in prostate cancer: delineation of organ structures and automatic generation of in- and output functions" IEEE Transactions on Nuclear Science 49, 5, 2338-2343 (2002)
28. U. Sinha and H. Kangarloo "Principal Component Analysis for Content-based Image Retrieval" Radiographics 22, 5, 1271-1289 (2002)
29. A. Sitek, E.V.R.D. Bella, G.T. Gullberg and R.H. Huesman "Removal of liver activity contamination in teboroxime dynamic cardiac SPECT imaging with the use of factor analysis" Journal of Nuclear Cardiology 9, 2, 197-205 (2002)
30. A. Sitek, G.T. Gullberg and R.H. Huesman "Correction for ambiguous solutions in factor analysis using a penalized least squares objective" IEEE Transactions Medical Imaging 21, 3, 216-225 (2002)
31. D. Skocaj, H. Bischof and A. Leonardis "A Robust PCA Algorithm for Building Representations from Panoramic Images" In: "Computer Vision - ECCV 2002", 7th European Conference on Computer Vision, Copenhagen, Denmark, May 28-31, 2002. Proceedings, Part IV, Eds.: A. Heyden, G. Sparr, M. Nielsen and P. Johansen, Lecture Notes in Computer Science 2353, 4, 761-775 (2002)
32. G. Su, C. Zhang, R. Ding and C. Du "MMP-PCA face recognition method" Electronics Letters 38, 25, 1654-1656 (2002)
33. D.S. Turaga and T. Chen "Face recognition using mixtures of principal components" IEEE Proceedings on Image Processing, 2002 International Conference 2, 101-104 (2002)
34. D. Wu "Speech detection with noise suppression based on principal components analysis" Journal of the Acoustical Society of America 111, 1, 28 (2002)
35. J. Yang, X. Chen and W. Kunz "A PDA-based face recognition system" IEEE Proceedings on Applications of Computer Vision, WACV 2002 - Sixth IEEE Workshop, 19-23 (2002)
36. J. Yang and J-Y. Yang "From image vector to matrix: a straightforward image projection technique––IMPCA vs. PCA" Pattern Recognition 35, 9, 1997-1999 (2002)
37. Q. Yang and X. Ding "Symmetrical PCA in face recognition" IEEE Proceedings on Image Processing, 2002 International Conference 2, 97-100 (2002)
38. Y. Zhang and C. Liu "Face recognition using kernel principal component analysis and genetic algorithms" IEEE Proceedings on Neural Networks for Signal Processing, 12th IEEE Workshop, 337-343 (2002)

1. A.J. Calder, A.M. Burton, Paul Miller, A.W. Young and S. Akamatsu "A principal component analysis of facial expressions" Vision Research 41, 9, 1179-1208 (2001)
2. C. Chennubhotla and A. Jepson "Sparse PCA. Extracting multi-scale structure from data" IEEE Proceedings on Computer Vision, ICCV - Eighth IEEE International Conference, 1, 641-647 (2001)
3. S. Chitroub, A. Houacine and B. Sansal "Neuronal principal component analysis for an optimal representation of multispectral images" Intelligent Data Analysis 5, 5, 385-403 (2001)
4. S. Chitroub, A. Houacine and B. Sansal "Principal component analysis of multispectral images using neural network" IEEE Proceedings on Computer Systems and Applications, ACS/IEEE International Conference, 89-95 (2001)
5. S. Costa and S. Fiori "Image compression using principal component neural networks" Image and Vision Computing 19, 9-10, 649-668 (2001)
6. F. Frouin, P. Merlet, Y. Bouchareb, V. Frouin, J-L. Dubois-Randé, A. De Cesare, A. Herment, A. Syrota and A. Todd-Pokropek "Validation of Myocardial Perfusion Reserve Measurements Using Regularized Factor Images of H₂¹⁵O Dynamic PET Scans" Journal of Nuclear Medicine 42, 12, 1737-1746 (2001)
7. K. Goudeaux, T. Chen, S-W. Wang and J-D. Liu "Principal component analysis for facial animation" IEEE Proceedings on Acoustics, Speech, and Signal Processing, ICASSP '01 - International Conference 3, 1501-1504 (2001)
8. C. Huo and P. Bhattacharya "Content-Based Indexing of Volumetric Images Using Principal Component Analysis" International Journal of Pattern Recognition and Artificial Intelligence 15, 8, 1299-1309 (2001)
9. H-J. Lee, Y-J. Lee, and C-W. Lee "Gesture Classification and Recognition Using Principal Component Analysis and HMM" In: Advances in Multimedia Information Processing - PCM 2001, Eds: H.-Y. Shum, M. Liao, S.-F. Chang (Lecture Notes in Computer Science 2195), 756-763 (2001)
10. D. Lelescu and D. Schonfeld "Video Skimming and Summarization Based on Principal Component Analysis" In: Management of Multimedia on the Internet, Eds: E.S. Al-Shaer, G. Pacifici (Lecture Notes in Computer Science 2216), 128-141 (2001)
11. S. Lim, K.H. Sohn and C. Lee "Principal component analysis for compression of hyperspectral images" IEEE Proceedings on Geoscience and Remote Sensing, IGARSS '01 - 2001 International Symposium 1, 97-99 (2001)
12. A.A. Maciejewski and R.G. Roberts "An example of principal component analysis applied to correlated images" IEEE Proceedings on System Theory, 33rd Southeastern Symposium 269-273 (2001)
13. A.L. Martel, A.R. Moody, S.J. Allder, G.S. Delay and P.S. Morgan "Extracting parametric images from dynamic contrast-enhanced MRI studies of the brain using factor analysis" Medical Image Analysis 5, 1, 29-39 (2001)
14. A.M. Martinez and A.C. Kak "PCA versus LDA" IEEE Transactions on Pattern Analysis and Machine Intelligence 23, 2, 228-233 (2001)
15. H. Moon and P.J. Phillips "Computational and performance aspects of PCA-based face-recognition algorithms" Perception 30, 3, 303-321 (2001)
16. H.H. Muhammed, P. Ammenberg and E. Bengtsson "Using feature-vector based analysis, based on principal component analysis and independent component analysis, for analysing hyperspectral images" IEEE Proceedings on Image Analysis and Processing, 11th International Conference, 309-315 (2001)
17. T. Phiasai, S. Arunrungrusmi and K. Chamnongthai "Face recognition system with PCA and moment invariant method" IEEE Proceedings on Circuits and Systems,ISCAS 2001 - International Symposium 2, 165-168 (2001)
18. A. Pujol, J. Vitrià, F. Lumbreras and J.J. Villanueva "Topological principal component analysis for face encoding and recognition" Pattern Recognition Letters 22, 6-7, 769-776 (2001)
19. C. Schiepers, C.K. Hoh, J. Nuyts, C.H.M. Wu, M.S. Seltzer, M.E. Phelps and M. Dahlbom "Factor analysis: delineation of organ structures and automatic generation of in- and output functions in PET studies of prostate cancer" IEEE Proceedings on Nuclear Science, 2001 IEEE Symposium Conference Record 3, 1454-1457 (2001)
20. V. Smídl, M. Kárný, M. Sámal, W. Backfrieder and Z. Szabo "Smoothness Prior Information in Principal Component Analysis of Dynamic Image Data" In: Information Processing in Medical Imaging, Eds: M.F. Insana, R.M. Leahy (Lecture Notes in Computer Science 2082), 225-231 (2001)
21. F. De la Torre and M.J. Black "Robust principal component analysis for computer vision" IEEE Proceedings on Computer Vision, ICCV 2001 - Eighth IEEE International Conference 1, 362-369 (2001)
22. L.V. Tran and R. Lenz "PCA-based representation of color distributions for color-based image retrieval" IEEE Proceedings on Image Processing, 2001 International Conference 2, 697-700 (2001)
23. Y. Zhang, A. Goldszal, J. Butman and P. Choyke "Improving image contrast using principal component analysis for subsequent image segmentation" Journal of Computer Assisted Tomography 25, 5, 817-822 (2001)

1. J.Y. Ahn, K. Seo, J.S. Lee and D.S. Lee "Factor analysis for the quantification of renal cortical blood flow using O-15 water dynamic PET" IEEE Proceedings on Nuclear Science, 2000 IEEE Symposium Conference Record 3, 18/153-18/156 (2000)
2. V. Brennan and J. Principe "Multiresolution using principal component analysis" IEEE Proceedings on Acoustics, Speech, and Signal Processing, ICASSP '00 - 2000 IEEE International Conference 6, 3474-3477 (2000)
3. S. Chitroub, A. Houacine and B. Sansal "Compound PCA-ICA neural network model for enhancement and feature extraction of multi-frequency polarimetric SAR imagery" IEEE Proceedings on Image Processing, 2000 International Conference, 3, 328-331 (2000)
4. R.P.W. Duin, M. Loog and R. Haeb-Umbach "Multi-class linear feature extraction by nonlinear PCA" IEEE Proceedings on Pattern Recognition, 15th International Conference, 2, 398-401 (2000)
5. M. Gabbay, C. Brennan, E. Kaplan and L. Sirovich "A Principal Components-Based Method for the Detection of Neuronal Activity Maps: Application to Optical Imaging" NeuroImage 11, 4, 313-325 (2000)
6. B.J. Hafner, S.G. Zachariah and J.E. Sanders "Characterisation of three-dimensional anatomic shapes using principal components: application to the proximal tibia" Medical & Biological Engineering and Computing 38, 1, 9-16 (2000)
7. P.J. Hancock "Evolving faces from principal components" Behavior Research Methods, Instruments, & Computers 32, 2, 327-333 (2000)
8. G.W. Horgan "Principal Component Analysis of Random Particles" Journal of Mathematical Imaging and Vision 12, 2, 169-175 (2000)
9. L-Y. Huang, F-M. Sun and Z-Y. Hu "A new automatic quasar recognition technique based on PCA and the Hough transform" IEEE Proceedings on Pattern Recognition, 15th International Conference, 2, 499-502 (2000)
10. E. Kahn, G. Lizard, F. Frouin, P. Roignot, Y. Chardonnet, and R. Di Paola "Factor Analysis of Confocal Image Sequences of Human Papillomavirus DNA Revealed with Fast Red in Cervical Tissue Sections Stained with TOTO-Iodide" Analytical and Quantitative Cytology and Histology 22, 2, 168-174 (2000)
11. A.R. Kalukin, M. Van Geet and R. Swennen "Principal components analysis of multienergy X-ray computed tomography of mineral samples" IEEE Transactions on Nuclear Science 47, 5, 1729-1736 (2000)
12. K.I. Kim, K. Jung, S.H. Park and H.J. Kim "Texture classification with kernel principal component analysis" Electronics Letters 36, 12, 1021-1022 (2000)
13. J.S. Lee, J.Y. Ahn, D.S. Lee, K. Seo and K.S. Park "Application of factor and cluster analysis for the parametric image of myocardial blood flow using H₂¹⁵O and dynamic PET" IEEE Proceedings on Nuclear Science, 2000 IEEE Symposium Conference Record 3, 18/146-18/149 (2000)
14. Y. Nyui, K. Ogawa and E. Kunieda "Extraction of arteriovenous malformation with factor analysis" IEEE Proceedings on Image Processing, 2000 International Conference 2, 621-624 (2000)
15. S.J. Perantonis, S. Petridis and V. Virvilis "Supervised principal component analysis using a smooth classifier paradigm" IEEE Proceedings on Pattern Recognition, 15th International Conference 2, 109-112 (2000)
16. F.A.C. Pinto, J.F. Reid, Q. Zhang and N. Noguchi "Vehicle Guidance Parameter Determination from Crop Row Images using Principal Component Analysis" Journal of Agricultural Engineering Research 75, 3, 257-264 (2000)
17. V. Ravi, P.J. Reddy and H-J. Zimmermann "Pattern classification with principal component analysis and fuzzy rule bases" European Journal of Operational Research 126, 3, 526-533 (2000)
18. S.A. Rizvi, T.N. Saadawi and N.M. Nasrabadi "A modular clutter rejection technique for FLIR imagery using region-based principal component analysis" IEEE Proceedings on Image Processing, 2000 International Conference 2, 475-478 (2000)
19. A. Sitek, E.V.R.D. Bella and G.T. Gullberg "Factor analysis with a priori knowledge - application in dynamic cardiac SPECT" Physics in Medicine and Biology 45, 9, 2619-2638 (2000)
20. A. Sitek, G.T. Gullberg and R.H. Huesman "Correction for ambiguous solutions in factor analysis using a penalized least squares objective" IEEE Proceedings on Nuclear Science, 2000 IEEE Symposium Conference Record 3, 18/40-18/44 (2000)
21. M. Stetter, I. Schießl, T. Otto, F. Sengpiel, M. Hübener, T. Bonhoeffer and K. Obermayer "Principal Component Analysis and Blind Separation of Sources for Optical Imaging of Intrinsic Signals" NeuroImage 11, 5, 482-490 (2000)

1. Y. Anzai, S. Minoshima, G.T. Wolf and R.L. Wahl "Head and Neck Cancer: Detection of Recurrence with Three-dimensional Principal Components Analysis at Dynamic FDG PET" Radiology 212, 1, 285-290 (1999)
2. P. Bao and H. Hung "PCA neural network for JPEG image enhancement" IEEE Proceedings on Signals, Systems, and Computers, Thirty-Third Asilomar Conference 2, 976-980 (1999)
3. I. Buvat, S. Hapdey, H. Benali, A. Todd-Pokropek and R. Di Paola "Spectral Factor Analysis for Multi-isotope Imaging in Nuclear Medicine" In: Information Processing in Medical Imaging, Eds: A. Kuba, M. Samal, A. Todd-Pokropek (Lecture Notes in Computer Science 1613), 442-447 (1999)
4. K-C. Chung, S.C. Kee and S.R. Kim "Face recognition using principal component analysis of Gabor filter responses" IEEE Proceedings on Recognition, Analysis, and Tracking of Faces and Gestures in Real-Time Systems, 1999 International Workshop, 53-57 (1999)
5. F. Frouin, A.D. Cesare, Y. Bouchareb, A. Todd-Pokropek and A. Herment "Spatial regularization applied to factor analysis of medical image sequences (FAMIS)" Physics in Medicine and Biology 44, 9, 2289-2306 (1999)
6. L.K. Hansen, J. Larsen, F. Nielsen, S.C. Strother, E. Rostrup, R. Savoy, N. Lange, J. Sidtis, C. Svarer and O.B. Paulson "Generalizable Patterns in Neuroimaging: How Many Principal Components?" NeuroImage 9, 5, 534-544 (1999)
7. E. Kahn, G. Lizard, M. Pelegrini, F. Frouin, P. Roignot, Y. Chardonnet and R. Di Paola "Four-dimensional factor analysis of confocal image sequences (4D-FAMIS) to detect and characterize low copy numbers of human papillomavirus DNA by FISH in HeLa and SiHa cells" Journal of Microscopy 193, 3, 227-243 (1999)
8. I. Koufakis and B.F. Buxton "Very low bit rate face video compression using linear combination of 2D face views and principal components analysis" Image and Vision Computing 17, 14, 1031-1051 (1999)
9. A.Z. Kouzani, F. He and K. Sammut "Quadtree principal component analysis and its application to facial expression classification" IEEE Proceedings on Systems, Man, and Cybernetics, SMC '99 - IEEE International Conference 6, 835-839 (1999)
10. G. Oros and T. Cserháti "QSAR Study of the Fungicidal Activity of Thiophosphorylglycinamide Derivatives. Comparison of Principal Component Analysis and Spectral Mapping Technique" Quantitative Structure-Activity Relationships 18, 6, 584-593 (1999)
11. S.A. Rizvi, N.M. Nasrabadi, and S.Z. Der "A clutter rejection technique for FLIR imagery using region-based principal component analysis" IEEE Proceedings on Image Processing, ICIP 99 <4>, 415-419 (1999)
12. E. Sahouria and A. Zakhor "Content analysis of video using principal components" IEEE Transactions on Circuits and Systems for Video Technology 9, 8, 1290-1298 (1999)
13. M. Sámal, M. Kárny, H. Benali, W. Backfrieder, A. Todd-Pokropek and H. Bergmann "Experimental comparison of data transformation procedures for analysis of principal components" Physics in Medicine in Biology 44, 11, 2821-2834 (1999)
14. A. Sitek, E.V.R. Di Bella and G.T. Gullberg "Reconstruction from Slow Rotation Dynamic SPECT Using a Factor Model" In: Information Processing in Medical Imaging, Eds: A. Kuba, M. Samal, A. Todd-Pokropek, Lecture Notes in Computer Science 1613, 436-441 (1999)
15. A. Sitek, E.V.R. DiBella and G.T. Gullberg "An improved factor analysis method for cardiac dynamic SPECT studies by using a priori information" IEEE Proceedings on Nuclear Science, 1999 IEEE Symposium, Conference Record 2, 1014-1016 (1999)
16. M.E. Tipping and C.M. Bishop "Mixtures of probabilistic principal component analyzers" Neural Computation 11, 2, 443-482 (1999)
17. P.J.D. Weeks, M.A. O'Neill, K.J. Gaston and I.D. Gauld "Species–identification of wasps using principal component associative memories" Image and Vision Computing 17, 12, 861-866 (1999)
18. H. Wu, M. Siegel and P. Khosla "Vehicle sound signature recognition by frequency vector principal component analysis" IEEE Transactions on Instrumentation and Measurement 48, 5, 1005-1009 (1999)

1. T. Bajjouk, J. Populus and B. Guillaumont "Quantification of Subpixel Cover Fractions Using Principal Component Analysis and a Linear Programming Method: Application to the Coastal Zone of Roscoff (France)" Remote Sensing of Environment 64, 2, 153-165 (1998)
2. V. Brennan and J. Principe "Face classification using a multiresolution principal component analysis" IEEE Proceedings on Neural Networks for Signal Processing VIII, 1998 IEEE Signal Processing Society Workshop, 506-515 (1998)
3. I. Buvat, H. Benali and R. Di Paola "Statistical distribution of factors and factor images in factor analysis of medical image sequences" Physics in Medicine and Biology 43, 6, 1695-1711 (1998)
4. J.R. Carr "A Visual Basic program for principal components transformation of digital images" Computers & Geosciences 24, 3, 209-218 (1998)
5. D. Dutta, A.K. Mohanty, R.K. Choudhury and P. Chand "Pattern recognition of particle tracks using principal component analysis and artificial neural network" Nuclear Instruments and Methods in Physics Research, Section A 404, 2-3, 445-454 (1998)
6. E.L. Jacobs and G. O'Brien "Investigation of computational vision and principal component analysis with application to target classification" Optical Engineering 37, 7, 2022-2028 (1998)
7. B. Kusumoputro and A. Ariyanto "Neural network diagnosis of malignant skin cancers using principal component analysis as a preprocessor" IEEE Proceedings on Neural Networks, 1998. IEEE World Congress on Computational Intelligence 1, 310-315 (1998)
8. E. Lange and K. Kyuma "Wavelet-domain principal component analysis applied to facial similarity trees, caricaturing, and nonlinear illumination-invariant processing" IEEE Proceedings on Automatic Face and Gesture Recognition, Third IEEE International Conference, 171-176 (1998)
9. X. Miao, M.R. Azimi-Sadjadi, A.C. Bin Tan Dubey and N.H. Witherspoon "Detection of mines and minelike targets using principal component and neural-network methods" IEEE Transactions on Neural Networks 9, 3, 454-463 (1998)
10. A. Sitek, E.V.R. Di Bella and G.T. Gullberg "Factor analysis of dynamic structures in dynamic SPECT imaging using maximum entropy" IEEE Transactions on Nuclear Science 46, 6, 2227-2232 (1998)
11. M. Partridge and R.A. Calvo "Fast Dimensionality Reduction and Simple PCA" Intelligent Data Analysis 2, 1-4, 203-214 (1998)
12. D. Tzovaras and M.G. Strintzis "Use of nonlinear principal component analysis and vector quantization for image coding" IEEE Transactions on Image Processing 7, 8, 1218-1223 (1998)

1. P.D. Acton, L.S. Pilowsky, J. Suckling, M.J. Brammer and P.J. Ell "Registration of dynamic dopamine D₂ receptor images using principal component analysis" European Journal of Nuclear Medicine 24, 11, 1405-1412 (1997)
2. D. Blocklet, P. Martin, A. Schoutens, M. Verhas, L. Hooghe and P. Kinnaert "Presurgical localization of abnormal parathyroid glands using a single injection of technetium-99m methoxyisobutylisonitrile: comparison of different techniques including factor analysis of dynamic structures" European Journal of Nuclear Medicine 24, 1, 46-51 (1997)
3. E. Kahn, G. Lizard, F. Frouin, P. Roignot, Y. Chardonnet and R. Di Paola "Laser scanning confocal microscopy and factor analysis of biomedical image sequences (FAMIS) to detect and characterise HPV DNA sequences by FISH in HeLa cells" Cytometry 28, 4, 269-279 (1997)
4. T. Kakuta, Y. Suzuki, M. Hida, M. Wakabayasi, T. Fujisaki, M. Kitamura and S. Hiraga "Functional evaluation of the remaining kidney in kidney donors by radionuclide dynamic imaging using a graphic method with factor analysis" Nuclear Medicine Communications 18, 10, 937-942 (1997)
5. L.C. Maas, G.J. Harris, A. Satlin, C.D. English, R.F. Lewis and P.F. Renshaw "Regional cerebral blood volume measured by dynamic susceptibility contrast MR imaging in Alzheimer's disease: a principal components analysis" Journal of Magnetic Resonance Imaging 7, 1, 215-219 (1997)
6. J.R. Mansfield, M.G. Sowa, G.B. Scarth, R.L. Somorjai and H.H. Mantsch "Fuzzy C-means clustering and principal component analysis of time series from near-infrared imaging of forearm ischemia" Computerized Medical Imaging and Graphics 21, 5, 299-308 (1997)
7. A. Nagata, T. Okazaki, C.S. Choi and H. Harashima "Basis generation and description of facial images using principal-component analysis" Systems and Computers in Japan 28, 10, 77-83 (1997)
8. B. Pinkowski "Principal component analysis of speech spectrogram images" Pattern Recognition 30, 5, 777-787 (1997)
9. L.J. Shen and H.C. Fu "A principal component based BDNN for face recognition" IEEE Proceedings on Neural Networks, 1997 International Conference 3, 1368-1372 (1997)
10. M. Stone, Y. Cheng and A. Lundberg "Using principal component analysis of tongue surface shapes to distinguish among vowels and speakers" Journal of the Acoustical Society of America 101, 5, 3176-3177 (1997)
11. M. Stone, M.H. Goldstein Jr. and Z. Yongqing "Principal component analysis of cross sections of tongue shapes in vowel production" Speech Communication 22, 2-3, 173-184 (1997)
12. D. Valentin, H. Abdi, B. Edelman and A.J. O'Toole "Principal Component and Neural Network Analyses of Face Images: What Can Be Generalized in Gender Classification?" Journal of Mathematical Psychology 41, 4, 398-413 (1997)

1. D. Blocklet, P. Martin, A. Schoutens, M. Verhas, L. Hooghe, and P. Kinnaert "Presurgical localization of abnormal parathyroid glands using a single injection of technetium-99m methoxyisobutylisonitrile: comparison of different techniques including factor analysis of dynamic structures" European Journal of Nuclear Medicine and Molecular Imaging 24, 1, 46-51 (1996)
2. R.D. Dony, C.L. Coblentz, C. Nabmias and S. Haykin "Compression of digital chest radiographs with a mixture of principal components neural network: evaluation of performance" RadioGraphics 16, 6, 1481-1488 (1996)
3. P.J. Hancock, A.M. Burton and V. Bruce "Face processing: human perception and principal components analysis" Memory & Cognition 24, 1, 21-40 (1996)
4. F. Hermansen and A.A. Lammertsma "Linear dimension reduction of sequences of medical images: III. Factor analysis in signal space" Physics in Medicine and Biology 41, 8, 1469-1481 (1996)
5. J.A. Kirk and M. Donofrio "Principal component background suppression" IEEE Proceedings on Aerospace Applications, 1996 Conference, 3, 105-119 (1996)
6. S. Minoshima and R.A. Koeppe "[Fast and accurate numerical method for principal components analysis dealing with large image data sets]" Kaku Igaku 33, 4, 431-434 (1996)
7. S. Petras, A. Aurengo, D. Le, M. Di Paola, C. Jeanguillaume and P. Galle "Factor analysis in successive hepatobiliary imaging of native and transplant livers" Journal of Nuclear Medicine 37, 5, 847-851 (1996)
8. M. Yoshioka and S. Omatu "Image compression by nonlinear principal component analysis" IEEE Proceedings on Emerging Technologies and Factory Automation, EFTA '96 - IEEE Conference 2, 704-706 (1996)

1. F. Cavailloles, J.P. Bazin, D. Pavel, E. Olea, M. Faraggi, F. Frouin and R. Di Paola "Comparison between factor analysis of dynamic structures and Fourier analysis in detection of segmental wall motion abnormalities: a clinical evaluation" International Journal of Cardiac Imaging 11, 4, 263-72 (1995)
2. C-C. Chang and T-C. Wu "An exact match retrieval scheme based upon principal component analysis" Pattern Recognition Letters 16, 5, 465-470 (1995)
3. C.Y. Chen, C.C. Chang, and R.C.T. Lee "A near pattern-matching scheme based upon principal component analysis" Pattern Recognition Letters 16, 4, 339-345 (1995)
4. M-C. Gregoire, F. Frouin, F. Lavenne, O. de Dreuille, M. Janier, R. Di Paola and L. Cinotti "Evaluation of factor analysis accuracy for myocardial perfusion in PET studies" IEEE Proceedings on Nuclear Science and Medical Imaging, 1995 IEEE Symposium Conference Record 3, 1689-1693 (1995)
5. H. Shum, K. Ikeuchi and R. Reddy "Principal Component Analysis with Missing Data and its Application to Polyhedral Object Modeling" IEEE Transactions on Pattern Analysis and Machine Intelligence 17, 9, 854-867 (1995)
6. M. Soriano and C. Saloma "Cell classification by a learning principal component analyzer and a backpropagation neural network" Bioimaging 3, 4, 168-176 (1995)
7. S.C. Strother, J.R. Anderson, K.A. Schaper, J.J. Sidtis, J.S. Liow, R.P. Woods and D.A. Rottenberg "Principal component analysis and the scaled subprofile model compared to intersubject averaging and statistical parametric mapping: I. "Functional connectivity" of the human motor system studied with [15O]water PET" Journal of Cerebral Blood Flow & Metabolism 15, 5, 738-753 (1995)
8. S.C. Strother, I. Kanno and D.A. Rottenberg "Commentary and opinion: I. Principal component analysis, variance partitioning, and "functional connectivity"" Journal of Cerebral Blood Flow & Metabolism 15, 3, 353-360 (1995)
9. J.B. Weaver "Efficient calculation of the principal components of imaging data" Journal of Cerebral Blood Flow & Metabolism 15, 5, 892-894 (1995)
10. H.M. Wu, C.K. Hoh, D.B. Buxton, W.G. Kuhle, H.R. Schelbert, Y. Choi, R.A. Hawkins, M.E. Phelps and S.C. Huang "Quantification of myocardial blood flow using dynamic nitrogen-13-ammonia PET studies and factor analysis of dynamic structures" Journal of Nuclear Medicine 36, 11, 2087-2093 (1995)
11. H.M. Wu, C.K. Hoh, Y. Choi, H.R. Schelbert, R.A. Hawkins, M.E. Phelps and S.C. Huang "Factor analysis for extraction of blood time-activity curves in dynamic FDG-PET studies" Journal of Nuclear Medicine 36, 9, 1714-1722 (1995)

1. G.E. Alexander and J.R. Moeller "Application of the scaled subprofile model to functional imaging in neuropsychiatric disorders: A principal component approach to modeling brain function in disease" Human Brain Mapping 2, 1-2, 79-94 (1994)
2. S. Baronti, R. Carla, S. Sigismondi and L. Alparone "Principal component analysis for change detection on polarimetric multitemporal SAR data" IEEE Proceedings on Geoscience and Remote Sensing, IGARSS '94 - 'Surface and Atmospheric Remote Sensing: Technologies, Data Analysis and Interpretation', International Symposium 4, 2152-2154 (1994)
3. H. Benali, I. Buvat, F. Frouin, J.P. Bazin and R. Di Paola "Foundations of factor analysis of medical image sequences: a unified approach and some practical implications" Image and Vision Computing 12, 6, 375-385 (1994)
4. C. Billotey, A. Aurengo, Y. Najean, E. Sarfati, J.L. Moretti, M.E. Toubert and J.D. Rain "Identifying abnormal parathyroid glands in the thyroid uptake area using technetium-99m-sestamibi and factor analysis of dynamic structures" Journal of Nuclear Medicine 35, 10, 1631-1636 (1994)
5. C-C. Chang, Y-W. Chen and D.J. Buehrer "A Two-dimensional Shape Recognition Scheme Based on Principal Component Analysis" International Journal of Pattern Recognition and Artificial Intelligence 8, 4, 859-875 (1994)
6. J.M. Correas, J. Chabriais, P. Melki, O. Helenon, M. Di Paola, R. Di Paola and J.F. Moreau "Gd-DOTA renal pharmacokinetic study by factor analysis in transplanted human kidney and in phantom" Investigative Radiology 29, Suppl. 2, S174-S176 (1994)
7. C. Hosokawa, Y. Ushijima, T. Okamura, J. Kawabe, M. Hata, J. Oda, and H. Ochi "[Evaluation of renal function by factor analysis using 99mTc-MAG3]" Kaku Igaku 31, 5, 501-505 (1994)
8. P.D. Kunte and B.G. Wagle "Analysis of space-borne data for coastal zone information extraction of Goa coast, India" Ocean and Coastal Management 22, 3, 187-200 (1994)
9. B-K. Lee, D-K. Kim, Y-K. Cho, H-H. Lee and H-Y. Hwang "Reduced shift invariant second order neural networks using principal component analysis and pixel combinations" IEEE Proceedings on Neural Networks, 1994 World Congress on Computational Intelligence 7, 4283-4287 (1994)
10. F. Pedersen, M. Bergstrom, E. Bengtsson and B. Langstrom "Principal component analysis of dynamic positron emission tomography images" European Journal of Nuclear Medicine 21, 12, 1285-1292 (1994)
11. S. Sidibe, F. Frouin, J.P. Bazine, J. Lumbroso, M. Schlumberger, C. Parmentier and R. Di Paola "Processing by factor analysis of dynamic dual isotope studies using 99Tcm and 201Tl within a middle energy band. Evaluation in thyroid nodule malignancy" Nuclear Medicine Communications 15, 5, 367-378 (1994)
12. J.J. Sychra, P.A. Bandettini, N. Bhattacharya and Q. Lin "Synthetic images by subspace transforms I. Principal components images and related filters" Medical Physics 21, 2, 193-201 (1994)
13. D. Valentin, H. Abdi, and A.J. O'Toole "Categorization and Identification of Human Face Images by Neural Networks: A Review of the Linear Autoassoative and Principal Component Approaches" Journal of Biological Systems 2, 3, 413-429 (1994)
14. H-M. Wu, C.K. Hoh, D.B. Buxton, H.R. Schelbert, Y. Choi, R.A. Hawkins, M.E. Phelps and S-C. Huang "Factor analysis for quantitation of myocardial blood flow (MBF) using ¹³N-ammonia dynamic PET imaging" IEEE Proceedings on Nuclear Science, 1994 Symposium and Medical Imaging Conference 4, 1930-1934 (1994)
15. A.M. Zagdanski, R. Sigal, J. Bosq, J.P. Bazin, D. Vanel and R. Di Paola "Factor analysis of medical image sequences in MR of head and neck tumors" American Journal of Neuroradiology 15, 7, 1359-1368 (1994)

1. M.R. Azimi-Sadjadi, S. Ghaloum and R. Zoughi "Terrain classification in SAR images using principal components analysis and neural networks" IEEE Transactions on Geoscience and Remote Sensing 31, 2, 511-515 (1993)
2. H. Benali, I. Buvat, F. Frouin, J.P. Bazin and R. Di Paola "A statistical model for the determination of the optimal metric in factor analysis of medical image sequences (FAMIS)" Physics in Medicine and Biology 38, 8, 1065-1080 (1993)
3. J. Buvat, H. Benali, F. Frouin, J.P. Basin and R. Di Paola "Target apex-seeking in factor analysis of medical image sequences" Physics in Medicine and Biology 38, 1, 123-137 (1993)
4. V. Edeline, F. Frouin, J.P. Bazin, M. Di Paola, C. Kalifa, G. Contesso, C. Parmentier, J. Lumbroso and R. Di Paola "Factor analysis as a means of determining response to chemotherapy in patients with osteogenic sarcoma" European Journal of Nuclear Medicine 20, 12, 1175-1185 (1993)
5. F. Pedersen, M. Bergstrom, E. Bengtsson and E. Maripuu "Principal component analysis of dynamic PET and gamma camera images: a methodology to visualize the signals in the presence of large noise" IEEE Proceedings on Nuclear Science and Medical Imaging, 1993 IEEE Conference 3, 1734-1738 (1993)
6. S.V. Schell and W.A. Gardner "Maximum likelihood and common factor analysis-based blind adaptive spatial filtering for cyclostationary signals" IEEE Proceedings on Acoustics, Speech, and Signal Processing, ICASSP-93 - International Conference 4, 292-295 (1993)
7. D. Shah, S. Marshall and W.J. Welsh "Principal component coding of mouth sequences" IEEE Proceedings on Acoustics, Speech, and Signal Processing, ICASSP '93 - International Conference 5, 373-376 (1993)
8. M.M. Zabal, G.J. Czarnota, D.P. Bazett-Jones and F.P. Ottensmeyer "Conformational characterization of nucleosomes by principal component analysis of their electron micrographs" Journal of Microscopy 172, 3, 205-214 (1993)

1. V. Bonnerot, A. Charpentier, F. Frouin, C. Kalifa, D. Vanel and R. Di Paola "Factor analysis of dynamic magnetic resonance imaging in predicting the response of osteosarcoma to chemotherapy" Investigative Radiology 27, 10, 847-855 (1992)
2. B.O. Helal, F. Frouin, G. Schaison, D. Leguillouzic, M.E. Pueyo, R. Lebtahi, F. Archambaud, A. Desgrez, J.P. Bazin and R. Di Paola "Diagnosis of malignancy in thyroid nodules by factor analysis of spectral and dynamic structures: a simultaneous dual-isotope dynamic study with thallium-201 and iodine-131" European Journal of Nuclear Medicine 19, 7, 517-521 (1992)
3. T. McLaughlin, B. Steinberg, B. Christensen, I. Law, A. Parving and L. Friberg "Potential language and attentional networks revealed through factor analysis of rCBF data measured with SPECT" Journal of Cerebral Blood Flow & Metabolism 12, 4, 535-545 (1992)
4. Z. Szabo, E.E. Camargo, S. Sostre, I. Shafique, B. Sadzot, J.M. Links, R.F. Dannals and H.N. Wagner Jr. "Factor analysis of regional cerebral glucose metabolic rates in healthy men" European Journal of Nuclear Medicine 19, 7, 469-475 (1992)

1. L. Cinotti, D. Le Bars, P. Landais, P. Millet, F. Frouin and R. Di Paola "Factor analysis of dynamic structures (FADS) for quantitative modelling of positron emission tomographic (PET) image sequences" IEEE Proceedings on Nuclear Science, 1991 IEEE Symposium and Medical Imaging Conference, IEEE-INNS-ENNS International Joint Conference 3, 1705 (1991)
2. J.W. Gardner "Detection of vapours and odours from a multisensor array using pattern recognition Part 1. Principal component and cluster analysis" Sensors and Actuators B: Chemical 4, 1-2, 109-115 (1991)
3. T. Ito, H. Maeda, K. Takeda and T. Nakagawa "Factor analysis of gated cardiac blood-pool data: application to patients with congenital heart disease" Nuclear Medicine Communications 12, 10, 865-873 (1991)
4. R.K. Olson, J.J. Gillis, J.P. Rack, J.C. Defries and D.W. Fulker "Confirmatory factor analysis of word recognition and process measures in the Colorado Reading Project" Reading and Writing 3, 3-4, 235-248 (1991)

1. D. Anthony, E. Hines, J. Barham and D. Taylor "A comparison of image compression by neural networks and principal component analysis" IEEE Proceedings on Neural Networks, 1990 IJCNN International Joint Conference 1, 339-344 (1990)
2. H. Bergmann, G. Stacher, J. Hobart, A. Kugi and G.V. Granser "[Nuclear medicine measurement of the contractile activity of the stomach antrum using factor analysis]" Acta Medica Austriaca 17, 2-3, 58-64 (1990)
3. I. Matsunari, H. Bunko, K. Nakajima, J. Taki, Y. Shiire and K. Hisada "[Evaluation of factor analysis and other functional images in exercise gated blood-pool study]" Kaku Igaku 27, 11, 1265-1272 (1990)
4. N. Yui, T. Togawa, M. Koakutsu, F. Kinoshita, Y. Akiyama and F. Shimada "[Factor analysis in thallium-201 chloride thyroid studies]" Kaku Igaku 27, 12, 1385-1392 (1990)

1. F. Baulieu, J.L. Baulieu, V. Secchi, J. Dabiens, J. Barsotti and R. Itti "Factorial analysis of dynamic lymphoscintigraphy in lower limb lymphoedema" Nuclear Medicine Communications 10, 2, 109-119 (1989)
2. P. Geladi, H. Isaksson, L. Lindqvist, S. Wold and K. Esbensen "Principal component analysis of multivariate images" Chemometrics and Intelligent Laboratory Systems 5, 3, 209-220 (1989)
3. A.S. Houston and K.S. Nijran "Constraint problems in factor analysis of dynamic structures in nuclear medicine" IEEE Proceedings on Image Processing and its Applications, 1989, Third International Conference, 333-337 (1989)
4. J. Kasalicky, J. Kidery, B. Vavrejn, H. Surova and I. Malek "Determination of left ventricular wall motility injury by factor analysis in patients with advanced ischemic heart disease" European Journal of Nuclear Medicine 15, 12, 767-770 (1989)
5. M.A. Macleod and A.S. Houston "Factor analysis of dynamic structures (FADS) in the diagnosis of renal disease" European Journal of Nuclear Medicine 15, 9, 601-604 (1989)
6. Z.H. Oster, P. Som, J.P. Bazin, M. Di Paola, C. Raynaud, H.L. Atkins, and R. Di Paola "The role of factor analysis in the evaluation of new radiopharmaceuticals" International Journal of Radiation Applications and Instrumentation. Part B 16, 1, 85-89 (1989)
7. M. Samal, M. Karny, H. Surova, P. Penicka, E. Marikova and Z. Dienstbier "On the existence of an unambiguous solution in factor analysis of dynamic studies" Physics in Medicine and Biology 34, 2, 223-228 (1989)
8. M. Samal and Z. Dienstbier "[Clinical applications of factor analysis in nuclear medicine]" Bratislavske Lekarske Listy 90, 10, 732-739 (1989)
9. N.K. Shah and P.J. Gemperline "A program for calculating Mahalanobis distances using principal component analysis" TrAC Trends in Analytical Chemistry 8, 10, 357-361 (1989)
10. M. Unser, B.L. Trus and A.C. Steven "Normalization procedures and factorial representations for classification of correlation-aligned images: A comparative study" Ultramicroscopy 30, 3, 299-310 (1989)

1. P. Geladi and S. Wold "Local principal component models, rank maps and contextuality for curve resolution and multi-way calibration inference" Chemometrics and Intelligent Laboratory Systems 2, 4, 273-281 (1987)
2. P.O. Kotzki, C. Touzery, T. Munsch, J.M. Riedinger, L. Gogou, P. Piffaut, Y. Bidan and J.L. Pelletier "Fourier and factorial analysis: an objective and comparative evaluation on a cardiac phantom" European Journal of Nuclear Medicine 13, 9, 450-455 (1987)
3. M. Samal, M. Karny, H. Surova, E. Marikova and Z. Dienstbier "Rotation to simple structure in factor analysis of dynamic radionuclide studies" Physics in Medicine and Biology 32, 3, 371-382 (1987)
4. U. Schmiedl, D.A. Ortendahl, A.S. Mark, I. Berry and L. Kaufman "The utility of principal component analysis for the image display of brain lesions. A preliminary, comparative study" Magnetic Resonance in Medicine 4, 5, 471-486 (1987)

1. P. Hannequin, J.C. Liehn, A. Fortier, J. Elaerts and J. Valeyre "Comparison of phase analysis with factor analysis in equilibrium gated radionuclide angiography" Nuclear Medicine Communications 7, 12, 857-864 (1986)
2. M. Samal, H. Surova, M. Karny, E. Marikova, K. Michalova and Z. Dienstbier "Enhancement of physiological factors in factor analysis of dynamic studies" European Journal of Nuclear Medicine 12, 5-6, 280-283 (1986)

1. H. Heynen and D. van Norren "Origin of the electroretinogram in the intact macaque eye--I. Principal component analysis" Vision Research 25, 5, 697-707 (1985)
2. J.C. Maublant, I. Mena and L.G. Hanelin "Factor analysis in left ventricular first-pass radionuclide angiography: value of the ventricular factor to measure ejection fraction" International Journal of Cardiac Imaging 1, 2, 107-112 (1985)
3. M. Watanabe, K. Kodaira and S. Okamura "Digital surface photometry of galaxies toward a quantitative classification. IV. Principal component analysis of surface-photometric parameters" Astrophysical Journal 292, 1, 72-78 (1985)
4. J.B. Weaver and A.L. Huddleston "Attenuation coefficients of body tissues using principal-components analysis" Medical Physics 12, 1, 40-45 (1985)

1. A.S. Houston "The effect of apex-finding errors on factor images obtained from factor analysis and oblique transformation (nuclear medicine)" Physics in Medicine and Biology 29, 9, 1109-1116 (1984)

1. A.S. Houston, A.T. Elliott and D.L. Stone "Factorial phase imaging: a new concept in the analysis of first-pass cardiac studies" Physics in Medicine and Biology 27, 10, 1269-1277 (1982)

1. B.E. Oppenheim and C.R. Appledorn "Functional renal imaging through factor analysis" Journal of Nuclear Medicine 22, 5, 417-423 (1981)

1. M. Haussler, C. Eilles, C. Reiners, E. Moll and W. Borner "[Evaluation of functional scintigraphy of gastric emptying by the principal component method]" Nuklearmedizin 19, 5, 213-220 (1980)

1. A.S. Houston, M.A. Macleod and W.F. Sampson "Principal components analysis as an aid to classification of renal dynamic studies" European Journal of Nuclear Medicine 4, 4, 295-299 (1979)