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Factor Analysis
Data Base

Factor Analysis in Operational Research and Neural Networks

2006
  1. C. Cyr, E. Poulin, A. Pomerleau, and A. Desbiens "Hydrogenerator control-loop monitoring using graphical results obtained from a principal component analysis" IEE Proceedings - Control Theory and Applications 153, 1, 53-58 (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. Y.Q. Ni, X.T. Zhou and J.M. Ko "Experimental investigation of seismic damage identification using PCA-compressed frequency response functions and neural networks" Journal of Sound and Vibration 290, 1-2, 242-263 (2006)
2005
  1. C. Bunzmann, M. Biehl, and R. Urbanczik "Efficient training of multilayer perceptrons using principal component analysis" Phys. Rev. E 72, 026117 (2005)
  2. S. Chen and T. Sun "Class-information-incorporated principal component analysis" Neurocomputing 69, 1-3, 216-223 (2005)
  3. W. Chen, M.J. Er, and S. Wu "PCA and LDA in DCT domain" Pattern Recognition Letters 26, 15, 2474-2482 (2005)
  4. Z.P. Chen, J. Morris, E. Martin, R.B. Hammond, X. Lai, C. Ma, E. Purba, K.J. Roberts, and R. Bytheway "Enhancing the Signal-to-Noise Ratio of X-ray Diffraction Profiles by Smoothed Principal Component Analysis" Analytical Chemistry 77, 20, 6563-6570 (2005)
  5. C. Cheng and M-S. Chiu "Nonlinear process monitoring using JITL-PCA" Chemometrics and Intelligent Laboratory Systems 76, 1, 1-13 (2005)
  6. J-H. Cho, J-M. Lee, S.W. Choi, D. Lee and I-B. Lee "Fault identification for process monitoring using kernel principal component analysis" Chemical Engineering Science 60, 1, 279-288 (2006)
  7. S.W. Choi, C. Lee, J-M. Lee, J.H. Park and I-B. Lee "Fault detection and identification of nonlinear processes based on kernel PCA" Chemometrics and Intelligent Laboratory Systems 75, 1, 55-67 (2005)
  8. P. Ciosek, Z. Brzózka, W. Wróblewski, E. Martinelli, C. Di Natale and A. D'Amico "Direct and two-stage data analysis procedures based on PCA, PLS-DA and ANN for ISE-based electronic tongue-Effect of supervised feature extraction" Talanta 67, 3, 590-596 (2005)
  9. D.S. Holmes and A.E. Mergen "Effect of Multivariate Process Instability on Principal Component Analysis: A Case Study" AAPS Journal 7, 1, E106-E117 (2005)
  10. K.R. Janes, S.X. Yang, and R.R. Hacker "Pork farm odour modelling using multiple-component multiple-factor analysis and neural networks" Applied Soft Computing 6, 1, 53-61 (2005)
  11. B. Josso, D.R. Burton and M.J. Lalor "Texture orientation and anisotropy calculation by Fourier transform and Principal Component Analysis" Mechanical Systems and Signal Processing 19, 5, 1152-1161 (2005)
  12. G. Kerschen, P. De Boe, J-C. Golinval and K. Worden "Sensor validation using principal component analysis" Smart Materials and Structures 14, 1, 36-42 (2005)
  13. D. Kim and B-J. Yum "Collaborative filtering based on iterative principal component analysis" Expert Systems with Applications 28, 4, 823-830 (2005)
  14. 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)
  15. D.S. Lee, J.M. Park and Peter A. Vanrolleghem "Adaptive multiscale principal component analysis for on-line monitoring of a sequencing batch reactor" Journal of Biotechnology 116, 2, 195-210 (2005)
  16. N. Lu, Y. Yao, F. Gao and F Wang "Two-dimensional dynamic PCA for batch process monitoring" AIChE Journal 51, 12, 3300-3304 (2005)
  17. M. O'Farrell, E. Lewis, C. Flanagan, W.B. Lyons and N. Jackman "Combining principal component analysis with an artificial neural network to perform online quality assessment of food as it cooks in a large-scale industrial oven" Sensors and Actuators B: Chemical 107, 1, 104-112 (2005)
  18. S.S.P. Rattan and W.W. Hsieh "Complex-valued neural networks for nonlinear complex principal component analysis" Neural Networks 18, 1, 61-69 (2005)
  19. S. Rezzi, D.E. Axelson, K. Héberger, F. Reniero, C. Mariani and C. Guillou "Classification of olive oils using high throughput flow 1H NMR fingerprinting with principal component analysis, linear discriminant analysis and probabilistic neural networks" Analytica Chimica Acta 552, 1-2, 13-24 (2005)
  20. C. Servière and P. Fabry "Principal component analysis and blind source separation of modulated sources for electro-mechanical systems diagnostic" Mechanical Systems and Signal Processing 19, 6, 1293-1311 (2005)
  21. A.A. Sharov, D.B. Dudekula and M.S.H. Ko "A web-based tool for principal component and significance analysis of microarray data" Bioinformatics 21, 10, 2548-2549 (2005)
  22. G. Torkzadeh, X. Koufteros and W.J. Doll "Confirmatory factor analysis and factorial invariance of the impact of information technology instrument" Omega 33, 2, 107-118 (2005)
  23. 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)
  24. T. Voegtlin "Recursive principal components analysis" Neural Networks 18, 8, 1051-1063 (2005)
  25. D. Wang and J.A. Romagnoli "Robust multi-scale principal components analysis with applications to process monitoring" Journal of Process Control 15, 8, 869-882 (2005)
  26. 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)
  27. 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)
  28. A-M. Yan, G. Kerschen, P. De Boe and J-C. Golinval "Structural damage diagnosis under varying environmental conditions-part II: local PCA for non-linear cases" Mechanical Systems and Signal Processing 19, 4, 865-880 (2005)
  29. 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)
  30. Z. Yi, M. Ye, J.C. Lv and K.K. Tan "Convergence analysis of a deterministic discrete time system of Oja's PCA learning algorithm" IEEE Transactions on Neural Networks 16, 6, 1318-1328 (2005)
  31. E. Zamprogna, M. Barolo and D.E. Seborg "Optimal selection of soft sensor inputs for batch distillation columns using principal component analysis" Journal of Process Control 15, 1, 39-52 (2005)
  32. S. Zhao and Y. Xu "Multivariate Statistical Process Monitoring Using Robust Nonlinear Principal Component Analysis" Tsinghua Science & Technology 10, 5, 582-586 (2005)
  33. Q. Zhao and H. Lu "A PCA-based watermarking scheme for tamper-proof of web pages" Pattern Recognition 38, 8, 1321-1323 (2005)
2004
  1. T.I.R. Almeida and De Souza Filho "Principal component analysis applied to feature-oriented band ratios of hyperspectral data: a tool for vegetation studies" International Journal of Remote Sensing 25, 5005-5023 (2004)
  2. J. Cao and J. Gertler "Noise-induced bias in last principal component modeling of linear system" Journal of Process Control 14, 4, 365-376 (2004)
  3. R. Chattopadhyay, A. Guha and Jayadeva "Performance of neural networks for predicting yarn properties using principal component analysis" Journal of Applied Polymer Science 91, 3, 1746-1751 (2004)
  4. S. Chen and Y. Zhu "Subpattern-based principle component analysis" Pattern Recognition 37, 5, 1081-1083 (2004)
  5. Y. Chen, L. Lin, G. Li, J. Gao. and Q. Yu "Hierarchical PCA-NN for Retrieving the Optical Properties of Two-Layer Tissue Model" In: "Advances in Neural Networks - ISNN 2004": International Symposium on Neural Networks, Dalian, China, August 2004, Proceedings, Part I, Eds.: F. Yin, J. Wang, and C. Guo, Lecture Notes in Computer Science 3173, 1, 786-791 (2004)
  6. S.W. Choi, J.H. Park and I-B. Lee "Process monitoring using a Gaussian mixture model via principal component analysis and discriminant analysis" Computers & Chemical Engineering 28, 8, 1377-1387 (2004)
  7. C.S. Cinca and C.M. Molinero "Selecting DEA specifications and ranking units via PCA" Journal of the Operational Research Society 55, 5, 521-528 (2004)
  8. J. Ding, A.V. Gribok, J.W. Hines and B. Rasmussen "Redundant Sensor Calibration Monitoring Using Independent Component Analysis and Principal Component Analysis" Real-Time Systems 27, 1, 27-47 (2004)
  9. Z-G. Fan and B-L. Lu "An Adjusted Gaussian Skin-Color Model Based on Principal Component Analysis" In: "Advances in Neural Networks - ISNN 2004": International Symposium on Neural Networks, Dalian, China, August 2004, Proceedings, Part I, Eds.: F. Yin, J. Wang, and C. Guo, Lecture Notes in Computer Science 3173, 1, 804-809 (2004)
  10. J. Fujiki , S. Akaho and N. Murata "Nonlinear PCA/ICA for the Structure from Motion Problem" In: "Independent Component Analysis and Blind Signal Separation", Fifth International Conference, ICA 2004, Granada, Spain, September 22-24, 2004. Proceedings, Eds.: C.G. Puntonet and A. Prieto, Lecture Notes in Computer Science 3195, 750-757 (2004)
  11. J. Gertler and J. Cao "PCA-based fault diagnosis in the presence of control and dynamics" AIChE Journal 50, 2, 388-402 (2004)
  12. X-C. Guo, Z-Y. Chen, H-W. Ge and Y-C. Liang "Short-term load forecasting using neural network with principal component analysis" IEEE Proceedings on Machine Learning and Cybernetics, 2004 International Conference 6, 3365-3369 (2004)
  13. 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)
  14. A. Honkela, S. Harmeling, L. Lundqvist and H. Valpola "Using Kernel PCA for Initialisation of Variational Bayesian Nonlinear Blind Source Separation Method" In: "Independent Component Analysis and Blind Signal Separation", Fifth International Conference, ICA 2004, Granada, Spain, September 22-24, 2004. Proceedings, Eds.: C.G. Puntonet and A. Prieto, Lecture Notes in Computer Science 3195, 790-797 (2004)
  15. A. Ilin, H. Valpola, and E. Oja "Nonlinear dynamical factor analysis for state change detection" IEEE Transactions Neural Networks 15, 3, 559-75 (2004)
  16. M. Jankovic and H. Ogawa "Time-oriented hierarchical method for computation of principal components using subspace learning algorithm" International Journal of Neural Systems 14, 5, 313-323 (2004)
  17. S. Jankowski, J.J. Dusza, M. Wierzbowski and A. Oreziak "PCA Representation of ECG Signal as a Useful Tool for Detection of Premature Ventricular Beats in 3-Channel Holter Recording by Neural Network and Support Vector Machine Classifier" In: "Biological and Medical Data Analysis", 5th International Symposium, ISBMDA 2004, Barcelona, Spain, November 18-19, 2004. Proceedings, Eds.: J.M. Barreiro, F. Martin-Sanchez, V. Maojo, et al., Lecture Notes in Computer Science 3337, 1, 259-268 (2004)
  18. S.G. Kulkarni, A.K. Chaudhary, S. Nandi, S.S. Tambe and B.D. Kulkarni "Modeling and monitoring of batch processes using principal component analysis (PCA) assisted generalized regression neural networks (GRNN)" Biochemical Engineering Journal 18, 3, 193-210 (2004)
  19. C. Lee, S.W. Choi and I-B. Lee "Sensor fault identification based on time-lagged PCA in dynamic processes" Chemometrics and Intelligent Laboratory Systems 70, 2, 165-178 (2004)
  20. D.S. Lee and P.A. Vanrolleghem "Adaptive Consensus Principal Component Analysis for On-Line Batch Process Monitoring" Environmental Monitoring and Assessment 92, 1, 119-135 (2004)
  21. J-M. Lee, C.K. Yoo, S.W. Choi, P.A. Vanrolleghem and I-B. Lee "Nonlinear process monitoring using kernel principal component analysis" Chemical Engineering Science 59, 1, 223-234 (2004)
  22. J-M. Lee, C.K. Yoo, and I-B. Lee "Fault detection of batch processes using multiway kernel principal component analysis" Computers and Chemical Engineering 28, 9, 1837-1847 (2004)
  23. K.Y. Lee "Local fuzzy PCA based GMM with dimension reduction on speaker identification" Pattern Recognition Letters 25, 16, 1811-1817 (2004)
  24. B. Li, K. Wang and D. Zhang "On-Line Signature Verification Based on PCA (Principal Component Analysis) and MCA (Minor Component Analysis)" In: "Biometric Authentication": First International Conference, ICBA 2004, Hong Kong, China, July 15-17, 2004. Proceedings, Eds.: D. Zhang and A.K. Jain. Lecture Notes in Computer Science 3072, 540-546 (2004)
  25. Q. Li, N. Zheng, L. Ma and H. Cheng "Principal Component Analysis Neural Network Based Probabilistic Tracking of Unpaved Road" In: "Advances in Neural Networks - ISNN 2004": International Symposium on Neural Networks, Dalian, China, August 2004, Proceedings, Part I, Eds.: F. Yin, J. Wang, and C. Guo. Lecture Notes in Computer Science 3173, 1, 792-797 (2004)
  26. F. Liu and Z. Zhao "Chemical Separation Process Monitoring Based on Nonlinear Principal Component Analysis" In: "Advances in Neural Networks - ISNN 2004": International Symposium on Neural Networks, Dalian, China, August 2004, Proceedings, Part I, Eds.: F. Yin, J. Wang, and C. Guo. Lecture Notes in Computer Science 3173, 1, 798-803 (2004)
  27. J. Liu, S. Chen and Z-H. Zhou "Progressive Principal Component Analysis" In: "Advances in Neural Networks - ISNN 2004": International Symposium on Neural Networks, Dalian, China, August 2004, Proceedings, Part I, Eds.: F. Yin, J. Wang, and C. Guo. Lecture Notes in Computer Science 3173, 1, 768-773 (2004)
  28. J. Liu, J.T.L. Wang, W. Hsu and K.G. Herbert "XML Clustering by Principal Component Analysis" IEEE Proceedings on Tools with Artificial Intelligence, ICTAI 2004 - 16th IEEE International Conference, 658-662 (2004)
  29. E. López-Rubio, J. Muñoz-Pérez and J.A. Gómez-Ruiz "A principal components analysis self-organizing map" Neural Networks 17, 2, 261-270 (2004)
  30. E. López-Rubio, J.M. Ortiz-de-Lazcano-Lobato, J. Muñoz-Pérez and J.A. Gómez-Ruiz "Principal Components Analysis Competitive Learning" Neural Computation 16, 11, 2459-2481 (2004)
  31. B. Mak, J.T. Kwok and S. Ho "Using kernel PCA to improve eigenvoice speaker adaptation" IEEE Proceedings on Machine Learning and Cybernetics, 2004 International Conference 5, 3062-3067 (2004)
  32. E. Marengo, M.C. Gennaro, V. Gianotti, and E. Robotti "Monitoring of an industrial process by multivariate control charts based on principal component analysis" Annali di Chimica 93, 5-6, 525-538 (2003)
  33. Y. Matsumura, M. Fukumi, N. Akamatsu and F. Takeda "Wrist EMG Pattern Recognition System by Neural Networks and Multiple Principal Component Analysis" In: "Knowledge-Based Intelligent Information and Engineering Systems: 8th International Conference, KES 2004, Wellington, New Zealand, September 20-25, 2004, Proceedings, Part I, Eds.: M.G. Negoita, R.J. Howlett, L.C. Jain. Lecture Notes in Computer Science 3213, 1, 891-897 (2004)
  34. R. Möller and H. Hoffmann "An extension of neural gas to local PCA" Neurocomputing 62, 305-326 (2004)
  35. M.E.M. Musa, D. de Ridder, R.P.W. Duin and V. Atalay "Almost autonomous training of mixtures of principal component analyzers" Pattern Recognition Letters 25, 9, 1085-1095 (2004)
  36. P. Ralston, G. DePuy, and J.H. Graham "Graphical enhancement to support PCA-based process monitoring and fault diagnosis" ISA Transactions 43, 4, 639-653 (2004)
  37. R. Saegusa, H. Sakano and S. Hashimoto "Nonlinear principal component analysis to preserve the order of principal components" Neurocomputing 61, 57-70 (2004)
  38. M. Saerens, F. Fouss, L. Yen and P. Dupont "The Principal Components Analysis of a Graph, and Its Relationships to Spectral Clustering" In: "Machine Learning: ECML 2004", 15th European Conference on Machine Learning, Pisa, Italy, September 20-24, 2004. Proceedings, Eds.: J-F. Boulicaut, F. Esposito, F. Giannotti, et al., Lecture Notes in Computer Science 3201, 371-383 (2004)
  39. J. Shirakura and K. Kurata "Nonlinear principal component analysis by learning nerve fields united by inhibitory connections" Systems and Computers in Japan 35, 3, 68-78 (2004)
  40. D. Sun, F. Ye and X. Gu "Estimation of Oxygen Concentration Using Dynamic Recurrent Neural Network Based on PCA" In: "Robotic Welding, Intelligence and Automation", Eds.: T-J. Tarn, C. Zhou and S-B. Chen , Lecture Notes in Control and Information Sciences 299, 358-364 (2004)
  41. Q. Tao, Y. Wang, P. Fish, W. Wang and J. Cardoso "The wall signal removal in Doppler ultrasound systems based on recursive PCA" Ultrasound in Medicine and Biology 30, 3, 369-379 (2004)
  42. W. Wang, X. Guan and X. Zhang "A Novel Intrusion Detection Method Based on Principle Component Analysis in Computer Security " In: "Advances in Neural Networks - ISNN 2004": International Symposium on Neural Networks, Dalian, China, August 19-21, 2004, Proceedings, Part II , Eds.: F. Yin, J. Wang, C. Guo, Lecture Notes in Computer Science 3174, 2, 657-662 (2004)
  43. S. Yoon and J.F. MacGregor "Principal-component analysis of multiscale data for process monitoring and fault diagnosis" AIChE Journal 50, 11, 2891-2903 (2004)
  44. T. Zhang, X. Lin and Z. Zhou "Use PCA Neural Network to Extract the PN Sequence in Lower SNR DS/SS Signals" In: "Advances in Neural Networks - ISNN 2004": International Symposium on Neural Networks, Dalian, China, August 2004, Proceedings, Part I, Eds.: F. Yin, J. Wang, and C. Guo, Lecture Notes in Computer Science 3173, 1, 780-785 (2004)
  45. X-L. Zhu, X-D. Zhang and Y. Jia "Adaptive RLS Implementation of Non-negative PCA Algorithm for Blind Source Separation " In: "Advances in Neural Networks - ISNN 2004": International Symposium on Neural Networks, Dalian, China, August 2004, Proceedings, Part I, Eds.: F. Yin, J. Wang, and C. Guo, Lecture Notes in Computer Science 3173, 1, 761-767 (2004)
2003
  1. P. De Boe and J-C. Golinval "Principal Component Analysis of a Piezosensor Array for Damage Localization" Structural Health Monitoring 2, 2, 137-144 (2003)
  2. L.J. Cao, K.S. Chua, W.K. Chong, H.P. Lee and Q.M. Gu "A comparison of PCA, KPCA and ICA for dimensionality reduction in support vector machine" Neurocomputing 55, 1-2, 321-336 (2003)
  3. J.M. Conway and A.I. Huffcutt "A Review and Evaluation of Exploratory Factor Analysis Practices in Organizational Research" Organizational Research Methods 6, 2, 147-168 (2003)
  4. 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)
  5. H. Ding, J. Liu and Z. Shen "Drift reduction of gas sensor by wavelet and principal component analysis" Sensors and Actuators B 96, 1-2, 354-363 (2003)
  6. N. Hanebutte, C.S. Taylor and R.R. Dumke "Techniques of Successful Application of Factor Analysis in Software Measurement" Empirical Software Engineering 8, 1, 43-57 (2003)
  7. M.F. Harkat, G. Mourot and J. Ragot "Nonlinear PCA combining principal curves and RBF-networks for process monitoring" IEEE Proceedings on Decision and Control, 42nd IEEE Conference, 2, 1956-1961 (2003)
  8. K. Honda, N. Sugiura and H. Ichihashi "Robust local principal component analyzer with fuzzy clustering" IEEE Proceedings on Neural Networks, 2003 International Joint Conference 1, 732-737 (2003)
  9. M.V. Jankovic "A new simple /spl infin/OH neuron model as a biologically plausible principal component analyzer" IEEE Transactions on Neural Networks 14, 4, 853- 859 (2003)
  10. 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)
  11. C.B. Lee, M.S. Kim and H.R. Park "Automatic Summarization Based on Principal Component Analysis" In: "Progress in Artificial Intelligence", Lecture Notes in Computer Science 2902, 409-413 (2003)
  12. Z-Y. Liu and L. Xu "Topological local principal component analysis" Neurocomputing 55, 3-4, 739-745 (2003)
  13. B. Lu and W.W. Hsieh "Simplified nonlinear principal component analysis" IEEE Proceedings on Neural Networks, 2003 International Joint Conference 1, 1098-7576 (2003)
  14. M. Penza and G. Cassano "Application of principal component analysis and artificial neural networks to recognize the individual VOCs of methanol/2-propanol in a binary mixture by SAW multi-sensor array" Sensors and Actuators B 89, 3, 269-284 (2003)
  15. D. Shi and F. Tsung "Modelling and diagnosis of feedback-controlled processes using dynamic PCA and neural networks" International Journal of Production Research 41, 2, 365-379 (2003)
  16. J-Y. Shim and L. Xu "Medical data mining model for oriental medicine via BYY Binary Independent Factor Analysis" IEEE Proceedings on Circuits and Systems, ISCAS '03 - International Symposium 5, V-717- V-720 (2003)
  17. J.A.K. Suykens, T. Van Gestel, J. Vandewalle, and B. De Moor "A support vector machine formulation to PCA analysis and its kernel version" IEEE Transactions on Neural Networks 14, 2, 447-450 (2003)
  18. Y. Takahata, M.C. Costa and A.C. Gaudio "Comparison between neural networks (NN) and principal component analysis (PCA): structure activity relationships of 1,4-dihydropyridine calcium channel antagonists (nifedipine analogues)" Journal of Chemical Information and Computer Sciences 43, 2, 540-544 (2003)
  19. 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)
  20. E. Vázquez-Martínez "A travelling wave distance protection using principal component analysis" International Journal of Electrical Power & Energy Systems 25, 6, 471-479 (2003)
  21. H. Yao and L. Tian "A genetic-algorithm-based selective principal component analysis (GA-SPCA) method for high-dimensional data feature extraction" IEEE Transactions on Geoscience and Remote Sensing 41, 6, 1469-1478 (2003)
  22. Q. Zhang "On the discrete-time dynamics of a PCA learning algorithm" Neurocomputing 55, 3-4, 761-769 (2003)
2002
  1. A.S. Al-Dmour and K.S. Mohammad "Active control of flexible structures using principal component analysis in the time domain" Journal of Sound and Vibration 253, 3, 545-569 (2002)
  2. K. Balci and V. Atalay "PCA for gender estimation: which eigenvectors contribute?" IEEE Proceedings on Pattern Recognition, 16th International Conference 3, 363-366 (2002)
  3. J. Chen and C-M. Liao "Dynamic process fault monitoring based on neural network and PCA" Journal of Process Control 12, 2, 277-289 (2002)
  4. D.M. Fallahati, M. Backonja, H. Eghbalnia and A.H. Assadi "Dynamic PCA for network feature extraction in multi-electrode recording of neurophysiological data in cortical substrate of pain" Neurocomputing 44-46, 401-405 (2002)
  5. K. Huang and S. Ma "Text categorization based on. Concept indexing and principal component analysis" IEEE Proceedings on Computers, Communications, Control and Power Engineering, TENCON '02 - IEEE Region 10 Conference 1, 51-56 (2002)
  6. R-B. Huang, L-T. Law and Y-M. Cheung "An experimental study: on reducing RBF input dimension by ICA and PCA" IEEE Proceedings on Machine Learning and Cybernetics, 2002 International Conference, 4, 1941-1945 (2002)
  7. E. Li and J. Yu "An input-training neural network based nonlinear principal component analysis approach for fault diagnosis" IEEE Proceedings on Intelligent Control and Automation, 4th World Congress 4, 2755-2759 (2002)
  8. S. Lachman-Shalem, N. Haimovitch, E.N. Shauly, and D.R. Lewin "MBPCA application for fault detection in NMOS fabrication" IEEE Transactions on Semiconductor Manufacturing 15, 1, 60-70 (2002)
  9. Z-Y. Liu and L. Xu "Topological local principal component analysis" IEEE Proceedings on Neural Information Processing, ICONIP '02 - 9th International Conference 3, 1346-1350 (2002)
  10. E. López-Rubio, J. Muñoz-Pérez and J.A. Gómez-Ruiz "The Principal Components Analysis Self-Organizing Map" In: Artificial Neural Networks - ICANN 2002, Ed: J.R. Dorronsoro (Lecture Notes in Computer Science 2415), 865-870 (2002)
  11. M. Misra, H.H. Yue, S.J. Qin and C. Ling "Multivariate process monitoring and fault diagnosis by multi-scale PCA" Computers & Chemical Engineering 26, 9, 1281-1293 (2002)
  12. S. Ouyang and Z. Bao "Fast principal component extraction by a weighted information criterion" IEEE Transactions on Signal Processing 50, 8, 1994-2002 (2002)
  13. A. Saucier and J. Muller "Using principal component analysis to enhance the generalized multifractal analysis approach to textural segmentation: Theory and application to microresistivity well logs" Physica A: Statistical Mechanics and its Applications 309, 3-4, 419-444 (2002)
  14. K. Sohara and M. Kotani "Application of Kernel Principal Components Analysis to pattern recognitions" IEEE Proceedings SICE 2002 - 41st SICE Annual Conference 2, 750-752 (2002)
  15. T. Takahashi and T. Kurita "Robust De-noising by Kernel PCA" In: "Artificial Neural Networks - ICANN 2002", International Conference, Madrid, Spain, August 28-30, 2002. Proceedings, Ed.: J.R. Dorronsoro, Lecture Notes in Computer Science 2415, 739-744 (2002)
  16. Y. Yang, N. Lu, F. Wang and L. Ma "A new fault detection and diagnosis method based on principal component analysis in multivariate continuous processes" IEEE Proceedings on Intelligent Control and Automation, 4th World Congress 4, 3156-3160 (2002)
  17. T. Yoshioka, R. Morioka, K. Kobayashi, S. Oba, N. Ogawsawara and S. Ishii "Clustering of Gene Expression Data by Mixture of PCA Models" In: "Artificial Neural Networks - ICANN 2002", International Conference, Madrid, Spain, August 28-30, 2002. Proceedings, Ed.: J.R. Dorronsoro, Lecture Notes in Computer Science 2415, 522-527 (2002)
  18. H. Wang, Z. Song and H. Wang "Statistical process monitoring using improved PCA with optimized sensor locations" Journal of Process Control 12, 6, 735-744 (2002)
  19. L. Xu "Temporal factor analysis (TFA): stable-identifiable family, orthogonal flow learning, and automated model selection" IEEE Proceedings Neural Networks, IJCNN '02 - The 2002 International Joint Conference, 472-476 (2002)
2001
  1. N. Adler and B. Golany "Evaluation of deregulated airline networks using data envelopment analysis combined with principal component analysis with an application to Western Europe" European Journal of Operational Research 132, 2, 260-273 (2001)
  2. S. Bermejo and J. Cabestany "Oriented principal component analysis for large margin classifiers" Neural Networks 14, 10,1447-1461 (2001)
  3. M. Biehl, C. Bunzmann and R. Urbanczik "Training multilayer perceptrons by principal component analysis" Physica A: Statistical Mechanics and its Applications 302, 1-4, 56-63 (2001)
  4. S. Capone, M. Epifani, F. Quaranta, P. Siciliano, A. Taurino and L. Vasanelli "Monitoring of rancidity of milk by means of an electronic nose and a dynamic PCA analysis" Sensors and Actuators B: Chemical 78, 1-3, 174-179 (2001)
  5. J-C. Chen and K. Fang "Differentiation and factor analysis on EDI usage data with an artificial neuromolecular system" IEEE Proceedings on Evolutionary Computation, 2001 Congress 2, 1359-1365 (2001)
  6. 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)
  7. K.I. Diamantaras "Blind Source Separation Using Principal Component Neural Networks" In: "Artificial Neural Networks - ICANN 2001", International Conference Vienna, Austria, August 21-25, 2001, Proceedings, Eds.: G. Dorffner, H. Bischof, and K. Hornik, Lecture Notes in Computer Science 2130, 515-520 (2004)
  8. K. Honda, N. Sugiura, H. Ichihashi and S. Araki "Collaborative Filtering Using Principal Component Analysis and Fuzzy Clustering" In: Web Intelligence: Research and Development, Eds: N. Zhong, Y. Yao, Liu, S. Ohsuga (Lecture Notes in Artificial Intellingence 2198), 394-402 (2001)
  9. W.W. Hsieh "Nonlinear principal component analysis by neural networks" Tellus A 53, 5, 599-615 (2001)
  10. B. Huang "Process identification based on last principal component analysis" Journal of Process Control 11, 1, 19-33 (2001)
  11. A. Imiya and H. Ootani "PCA-Based Model Selection and Fitting for Linear Manifolds" In: "Machine Learning and Data Mining in Pattern Recognition", Second International Workshop, MLDM 2001, Leipzig, Germany, July 25-27, 2001, Proceedings, Ed.: P. Perner, Lecture Notes in Computer Science 2123, 278-292 (2001)
  12. H. Kargupta, W. Huang, K. Sivakumar and E. Johnson "Distributed Clustering Using Collective Principal Component Analysis" Knowledge and Information Systems 3, 4, 422-448 (2001)
  13. M.Y. Kiang and A. Kumar "An Evaluation of Self-Organizing Map Networks as a Robust Alternative to Factor Analysis in Data Mining Applications" Information Systems Research 12, 2, 177-194 (2001)
  14. X. Liu, N.D. Sidiropoulos and A. Swami "Blind separation of FHSS signals using PARAFAC analysis and quadrilinear least squares" IEEE Proceedings on Military Communications, MILCOM 2001. Communications for Network-Centric Operations: Creating the Information Force 2, 1340-1344 (2001)
  15. 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)
  16. M.N. Nounou, B.R. Bakshi, P.K. Goel and X. Shen "Improving principal component analysis using Bayesian estimation" IEEE Proceedings on American Control Conference 2001 5, 3666-3671 (2001)
  17. P. Ravazzani, G. Tognola, M. Parazzini and F. Grandori "Fast acquisition of otoacoustic emissions by means of principal component analysis" IEEE Proceedings on Engineering in Medicine and Biology Society, 23rd Annual International Conference of the IEEE 2, 1907-1910 (2001)
  18. R. Rosipal, M. Girolami, L.J. Trejo and A. Cichocki "Kernel PCA for Feature Extraction and De-Noising in Nonlinear Regression" Neural Computing & Applications 10, 3, 231-243 (2001)
  19. C. Seo, K.Y. Lee and J. Lee "GMM based on local PCA for speaker identification" Electronics Letters 37, 24, 1486-1488 (2001)
  20. W. Soares-Filho, J. Manoel de Seixas and L. Pereira Caloba "Principal component analysis for classifying passive sonar signals" IEEE Proceedings on Circuits and Systems,ISCAS 2001 - International Symposium 2, 592-595 (2001)
  21. Y.M. Sebzalli and X.Z. Wang "Knowledge discovery from process operational data using PCA and fuzzy clustering" Engineering Applications of Artificial Intelligence 14, 5, 607-616 (2001)
  22. K-T. Sun and Y-S. Lai "Applying neural network technologies to factor analysis" Proc. Natl. Sci. Counc. ROC(D) 12, 1, 19-30 (2001)
  23. L. Tan and L. Xu "Modeling macroeconomic indexes from S&P 500 stocks via arbitrage pricing theory and temporary factor analysis" IEEE Proceedings on Neural Networks, IJCNN '01 - International Joint Conference, 3, 1844-1846 (2001)
  24. M.R. Vassali and J.M. Seixas "Principal component analysis for neural electron/jet discrimination in highly segmented calorimeters" AIP Conference Proceedings 583, 1, 89-91 (2001)
  25. J. Wang and S.J. Qin "Principal component analysis for errors-in-variables subspace identification" IEEE Proceedings on Decision and Control, 40th IEEE Conference 4, 3936-3941 (2001)
  26. C. Zang and M. Imregun "Structural Damage Detection using Artificial Neural Networks and Measured FRF Data Reduced Via Principal Component Projection" Journal of Sound and Vibration 242, 5, 813-827 (2001)
2000
  1. C. Chatterjee, Z. Kang and V.P. Roychowdhury "Algorithms for accelerated convergence of adaptive PCA" IEEE Transactions on Neural Networks 11, 2, 338-355 (2000)
  2. Q. Chen, R.J. Wynne, P. Goulding and D. Sandoz "The application of principal component analysis and kernel density estimation to enhance process monitoring" Control Engineering Practice 8, 5, 531-543 (2000)
  3. S. Fiori "An Experimental Comparison of Three PCA Neural Networks" Neural Processing Letters 11, 3, 209-218 (2000)
  4. S. Fiori and F. Piazza "A general class of /spl psi/-APEX PCA neural algorithms" IEEE Transactions on Circuits and Systems I: Fundamental Theory and Applications 47, 9, 1394-1397 (2000)
  5. S.H. Fourie and P. de Vaal "Advanced process monitoring using an on-line non-linear multiscale principal component analysis methodology" Computers & Chemical Engineering 24, 2-7, 755-760 (2000)
  6. Y. Han and C. Fyfe "A General Class of Neural Networks for Principal Component Analysis and Factor Analysis" In: "Intelligent Data Engineering and Automated Learning - IDEAL 2000: Data Mining, Financial Engineering, and Intelligent Agents19", Eds.: K.S. Leung, L-W. Chan, and H. Meng, Lecture Notes in Computer Science 1983, 158-163 (2000)
  7. G. Heo, S.S. Choi and S.H. Chang "Thermal power estimation by fouling phenomena compensation using wavelet and principal component analysis" Nuclear Engineering and Design 199, 1-2, 31-40 (2000)
  8. Y. Huang, J. Gertler, and T.J. McAvoy "Sensor and actuator fault isolation by structured partial PCA with nonlinear extensions" Journal of Process Control 10, 5, 459-469 (2000)
  9. N. Japkowicz, S.J. Hanson and M.A. Gluck "Nonlinear Autoassociation Is Not Equivalent to PCA" Neural Computation 12, 3, 531-545 (2000)
  10. H. Kargupta, W. Huang, K. Sivakumar, B-H. Park and S. Wang "Collective Principal Component Analysis from Distributed, Heterogeneous Data" In: Principles of Data Mining and Knowledge Discovery, Eds: D.A. Zighed, J. Komorowski, and J. Žytkow (Lecture Notes in Artificial Intelligence 1910), 452-457 (2000)
  11. W. Li, H.H. Yue, S. Valle-Cervantes and S.J. Qin "Recursive PCA for adaptive process monitoring" Journal of Process Control 10, 5, 471-486 (2000)
  12. W. Lin, Y. Qian and X. Li "Nonlinear dynamic principal component analysis for on-line process monitoring and diagnosis" Computers & Chemical Engineering 24, 2-7, 423-429 (2000)
  13. X. Liu and N.D. Sidiropoulos "Parafac methods for blind beamforming: multilinear ALS performance and CRB" IEEE Proceedings on Acoustics, Speech, and Signal Processing, ICASSP '00 - 2000 IEEE International Conference 5, 3128-3131 (2000)
  14. I. Magrin-Chagnolleau and G. Durou "Application of Time–Frequency Principal Component Analysis to Speaker Verification" Digital Signal Processing 10, 1-3, 226-236 (2000)
  15. J. Martens, G. Wets, J. Vanthienen and C. Mues "Improving a neuro-fuzzy classifier using exploratory factor analysis" International Journal of Intelligent Systems 15, 8, 785-800 (2000)
  16. R.B. McLain and M.A. Henson "Principal component analysis for nonlinear model reference adaptive control" Computers & Chemical Engineering 24, 1, 99-110 (2000)
  17. A. Nardi, A. Neviani and C. Guardiani "Realistic worst-case modeling by performance level principal component analysis" IEEE Proceedings on Quality Electronic Design, ISQED 2000 - First International Symposium, 455-459 (2000)
  18. S. Ouyang, Z. Bao and G-S. Liao "Robust recursive least squares learning algorithm for principal component analysis" IEEE Transactions on Neural Networks 11, 1, 215-221 (2000)
  19. J.C. Paolillo "Visualizing Usenet: a factor-analytic approach" IEEE Proceedings on System Sciences 2000, 33rd Annual Hawaii International Conference 3, 3033 (2000)
  20. M. Partridge and M. Jabri "Robust principal component analysis" IEEE Proceedings on Neural Networks for Signal Processing X, 2000 IEEE Signal Processing Society Workshop 1, 289-298 (2000)
  21. S.J. Qin and R. Dunia "Determining the number of principal components for best reconstruction" Journal of Process Control 10, 2-3, 245-250 (2000)
  22. 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)
  23. E.L. Russell, L.H. Chiang and R.D. Braatz "Fault detection in industrial processes using canonical variate analysis and dynamic principal component analysis" Chemometrics and Intelligent Laboratory Systems 51, 1, 81-93 (2000)
  24. M. Sakurai, S. Aizawa, Y. Suzumura and Y. Ando "A diagnostic system measuring orthogonal factors of sound fields in a scale model of auditorium" Journal of Sound and Vibration 232, 1, 231-237 (2000)
  25. N.D. Sidiropoulos, R. Bro and G.B. Giannakis "Parallel factor analysis in sensor array processing" IEEE Transactions on Signal Processing 48, 8, 2377-2388 (2000)
  26. N.D. Sidiropoulos, G.B. Giannakis and R. Bro "Blind PARAFAC receivers for DS-CDMA systems" IEEE Transactions on Signal Processing 48, 3, 810-823 (2000)
  27. F. Tsung "Statistical monitoring and diagnosis of automatic controlled processes using dynamic PCA" International Journal of Production Research 38, 3, 625-637 (2000)
  28. E.S. Tzafestas, A. Nikolaidou and S.G. Tzafestas "Performance evaluation and dynamic node generation criteria for 'principal component analysis' neural networks" Mathematics and Computers in Simulation 51, 3-4, 145-156 (2000)
  29. F.K. Wang and T.C.T. Du "Using principal component analysis in process performance for multivariate data" Omega 28, 2, 185-194 (2000)
  30. Y. Wang, L. Luo, M.T. Freedman and S-Y. Kung "Probabilistic principal component subspaces: a hierarchical finite mixture model for data visualization" IEEE Transactions on Neural Networks 11, 3, 625-636 (2000)
  31. A.S-Y. Wong, K-W. Wong and C-S. Wong "A Practical Sequential Method for Principal Component Analysis" Neural Processing Letters 11, 2, 107-112 (2000)
  32. T-N. Yang and S-D. Wang "Fuzzy auto-associative neural networks for principal component extraction of noisy data" IEEE Transactions on Neural Networks 11, 3, 808-810 (2000)
  33. Q. Zhang and Y-W. Leung "A class of learning algorithms for principal component analysis and minor component analysis" IEEE Transactions on Neural Networks 11, 1, 200-204 (2000)
  34. Q. Zhang and Y-W. Leung "A class of learning algorithms for principal component analysis and minor component analysis" IEEE Transactions on Neural Networks 11, 2, 529-533 (2000)
1999
  1. P.P. Bruyant, J. Sau and J.J. Mallet "Noise removal using factor analysis of dynamic structures: application to cardiac gated studies" Journal of Nuclear Medicine 40, 10, 1676-1682 (1999)
  2. R.H. Cabell and C.R. Fuller "A principal component algorithm for feedforward active noise and vibration control" Journal of Sound and Vibration 227, 1, 159-181 (1999)
  3. K.I. Diamantaras, K. Hornik, M.G. Strintzis "Optimal linear compression under unreliable representation and robust PCA neural models" IEEE Transactions on Neural Networks 10, 5, 1186-1195 (1999)
  4. M.K. Hartnett, G. Lightbody and G.W. Irwin "Identification of state models using principal components analysis" Chemometrics and Intelligent Laboratory Systems 46, 2, 181-196 (1999)
  5. H.G. Hiden, M.J. Willis, M.T. Tham and G.A. Montague "Non-linear principal components analysis using genetic programming" Computers & Chemical Engineering 23, 3, 413-425 (1999)
  6. K-Y. Huang "Neural networks for seismic principal components analysis" IEEE Transactions on Geoscience and Remote Sensing 37, 1, 297-311 (1999)
  7. A.T-C. Koh, N.F. Thronhill and V.J. Law "Principal component analysis of plasma harmonics in end-point detection of photoresist stripping" Electronics Letters 35, 16, 1383-1385 (1999)
  8. Z. Kurtanjek "Modeling of chemical reactor dynamics by nonlinear principal components" Chemometrics and Intelligent Laboratory Systems 46, 2, 149-159 (1999)
  9. X.Q. Li and I. King "Information retrieval using local linear PCA" IEEE Proceedings on Neural Information Processing, ICONIP '99 - 6th International Conference 3, 867-872 (1999)
  10. R. Shao, F. Jia, E.B. Martin and A.J. Morris "Wavelets and non-linear principal components analysis for process monitoring" Control Engineering Practice 7, 7, 865-879 (1999)
  11. Y. Takemura, K. Shima, K. Matsumoto, K. Inoue, and K. Troii "Factor analysis of comprehension states in the learning phases of a programming language" IEEE Proceedings on Software Engineering, APSEC '99 - Sixth Asia Pacific Conference, 136-143 (1999)
  12. H. Vedam and V. Venkatasubramanian "PCA-SDG based process monitoring and fault diagnosis" Control Engineering Practice 7, 7, 903-917 (1999)
  13. A. Wachs and D.R. Lewin "Improved PCA methods for process disturbance and failure identification" AIChE Journal 45, 8, 1688-1700 (1998)
  14. T-N. Yang and S-D. Wang "Robust algorithms for principal component analysis" Pattern Recognition Letters 20, 9, 927-933 (1999)
  15. B-L. Zhang, Q. Huang and T.D. Gedeon "A mixture of local PCA learning algorithm for adaptive transform coding" IEEE Proceedings on Neural Information Processing, ICONIP '99 - 6th International Conference 3, 842-847 (1999)
  16. L. Zhao and Y-H. Yang "An efficient algorithm to compute eigenimages in PCA-based vision systems" Pattern Recognition 32, 5, 851-864 (1999)
1998
  1. H.C. Ahmadi, G.A. Dumont and J. Ghofraniha "Wavelet and principal component subspace analysis for function approximation and data compression" IEEE Proceedings on Time-Frequency and Time-Scale Analysis, IEEE-SP International Symposium, 409-412 (1998)
  2. B.R. Bakshi "Multiscale PCA with application to multivariate statistical process monitoring" AIChE Journal 44, 7, 1596-1610 (1998)
  3. R.D. Boyle "Scaling additional contributions to principal components analysis" Pattern Recognition 31, 12, 2047-2053 (1998)
  4. D. Charles "Constrained PCA techniques for the identification of common factors in data" Neurocomputing 22, 1-3, 145-156 (1998)
  5. C. Chatterjee, V.P. Roychowdhury and E.K.P. Chong "On relative convergence properties of principal component analysis algorithms" IEEE Transactions on Neural Networks 9, 2, 319-329 (1998)
  6. T. Chen, Y. Hua and W-Y. Yan "Global convergence of Oja's subspace algorithm for principal component extraction" IEEE Transactions on Neural Networks 9, 1, 58-67 (1998)
  7. J.L. Crowley, F. Wallner and B. Schiele "Position estimation using principal components of range data" Robotics and Autonomous Systems 23, 4, 267-276 (1998)
  8. R. Dunia and S.J. Qin "Joint diagnosis of process and sensor faults using principal component analysis" Control Engineering Practice 6, 4, 457-469 (1998)
  9. C.L. Fancourt and J.C. Principe "Competitive principal component analysis for locally stationary time series" IEEE Transactions on Signal Processing 46, 11, 3068-3081 (1998)
  10. F. Del Frate and G. Schiavon "Nonlinear principal component analysis for the radiometric inversion of atmospheric profiles by using neural networks" IEEE Transactions on Geoscience and Remote Sensing 37, 5, 2335-2342 (1998)
  11. I. Higuchi and S. Eguchi "The Influence Function of Principal Component Analysis by Self-Organizing Rule" Neural Computation 10, 6, 1435-1444 (1998)
  12. F. Jia, E.B. Martin and A.J. Morris "Non-linear Principal Components Analysis for Process Fault Detection" Computers & Chemical Engineering 22, Suppl. 1, S851-S854 (1998)
  13. J. Karhunen, P. Pajunen and E. Oja "The nonlinear PCA criterion in blind source separation: Relations with other approaches" Neurocomputing 22, 1-3, 5-20 (1998)
  14. E.C. Malthouse "Limitations of nonlinear PCA as performed with generic neural networks" IEEE Transactions on Neural Networks 9, 1, 165-173 (1998)
  15. 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)
  16. M. Partridge and R.A. Calvo "Fast Dimensionality Reduction and Simple PCA" Intelligent Data Analysis 2, 1-4, 203-214 (1998)
  17. T. Stamkopoulos, K. Diamantaras, N. Maglaveras and M. Strintzis "ECG analysis using nonlinear PCA neural networks for ischemia detection" IEEE Transactions on Signal Processing 46, 11, 3058-3067 (1998)
  18. T. Szabo and G. Horvath "Finite word length computational effects of the principal component analysis networks" IEEE Transactions on Instrumentation and Measurement 47, 5, 1218-1222 (1998)
  19. A.S.Y. Wong, K.W. Wong and C.S. Leung, "Combining PCA and MCA by using recursive least square learning method" IEEE Proceedings on Electronics, Circuits and Systems,1998 IEEE International Conference 2, 121-124 (1998)
  20. H. Wu, M. Siegel and P. Khosla "Vehicle sound signature recognition by frequency vector principal component analysis" IEEE Proceedings on Instrumentation and Measurement Technology, IMTC/98 1, 429-434 (1998)
  21. J.P. Zbilut, A. Giuliani and C.L. Webber Jr. "Recurrence quantification analysis and principal components in the detection of short complex signals" Physics Letters A 237, 3, 131-135 (1998)
  22. B. Zhang, M. Fu and H. Yan "Handwritten Digit Recognition by a Mixture of Local Principal Component Analysis" Neural Processing Letters 8, 3, 241-252 (1998)
1997
  1. A.M. Aguilera, F.A. Ocaña and M.J. Valderrama "An approximated principal component prediction model for continuous-time stochastic processes" Applied Stochastic Models and Data Analysis 13, 2, 61-72 (1997)
  2. R.M. Chandwani, M.E. Pate, J. Savery, N.F. Thornhill, B. Horstmann, M. Hoare and N.J. Titchener-Hooker "The use of principal component analysis as a database mining tool for the exploratory diagnosis of chromatographic processes" Bioprocess Engineering 17, 4, 229-234 (1997)
  3. C-C. Chang, D-C. Lin and T-S. Chen "An Improved VQ Codebook Search Algorithm Using Principal Component Analysis" Journal of Visual Communication and Image Representation 8, 1, 27-37 (1997)
  4. X. Cao, H. Liu and N. Chen "Classification of Cm I energy levels using PCA-BPN and PCA-NLM" Chemical Physics 220, 3, 289-297 (1997)
  5. C. Fyfe "A Neural Network for PCA and Beyond" Neural Processing Letters 6, 1, 33-41 (1997)
  6. M. Girolami and C. Fyfe "Stochastic ICA contrast maximisation using OJA's nonlinear PCA algorithm" International Journal of Neural Systems 8, 5-6, 661-678 (1997)
  7. J. Karhunen and P. Pajunen "Blind source separation and tracking using nonlinear PCA criterion: a least-squares approach" IEEE Proceedings on Neural Networks, 1997 - International Conference 4, 2147-2152 (1997)
  8. K.A. Kosanovich and M.J. Piovoso "PCA of Wavelet Transformed Process Data for Monitoring" Intelligent Data Analysis 1, 1, 85-99 (1997)
  9. Z. Kurtanjek "Principal component analysis of bioreactor fed-batch operation by computer simulation" Mathematics and Computers in Simulation 44, 3, 287-294 (1997)
  10. D.A. Linkens and L. Vefghi "Recognition of patient anaesthetic levels: neural network systems, principal components analysis, and canonical discriminant variates" Artificial Intelligence in Medicine 11, 2, 155-173 (1997)
  11. A. Meyer-Base "Global stability analysis of a nonlinear principal component analysis neural network" IEEE Proceedings on Neural Networks, 1997 International Conference 3, 1785-1787 (1997)
  12. Y. Nakamori and J. Watada "Factor analysis for fuzzy data" IEEE Proceedings on Fuzzy Systems, the Sixth IEEE International Conference 2, 1115-1120 (1997)
  13. R.M. Neal and P. Dayan "Factor Analysis Using Delta-Rule Wake-Sleep Learning" Neural Computation 9, 8, 1781-1803 (1997)
  14. E. Oja "The nonlinear PCA learning rule in independent component analysis" Neurocomputing 17, 1, 25-45 (1997)
  15. D.W. Opitz "Analyzing the structure of a neural network using principal component analysis" IEEE Proceedings on Neural Networks, 1997 International Conference 1, 254-259 (1997)
  16. P. Pajunen and J. Karhunen "Least-squares methods for blind source separation based on nonlinear PCA" International Journal of Neural Systems 8, 5-6, 601-612 (1997)
  17. K. Reif, F-L. Luo and R. Unbehauen "The exponential stability of the invariant-norm PCA algorithm" IEEE Transactions on Circuits and Systems II: Analog and Digital Signal Processing 44, 10, 873-876 (1997)
  18. M. Shirakawa "The analysis and model design of aircraft vertical profile using factor analysis" IEEE Proceedings on Digital Signal Processing, DSP 97 - 13th International Conference 2, 699-702 (1997)
  19. A. Weingessel, H. Bischof, K. Hornik, and F. Leisch "Adaptive combination of PCA and VQ networks" IEEE Transactions on Neural Networks 8, 5, 1208-1211 (1997)
  20. Y. Yabuuchi, J. Watada and Y. Nakamori "Fuzzy principal component analysis for fuzzy data" IEEE Proceedings on Fuzzy Systems, Sixth IEEE International Conference 2, 1127-1132 (1997)
  21. K. Yang and G. Yang "Performance degradation analysis using principal component method" IEEE Proceedings on Reliability and Maintainability, 1997 Annual Symposium, 136-141 (1997)
  22. Y. Zhang and Y. Ma "CGHA for principal component extraction in the complex domain" IEEE Transactions on Neural Networks 8, 5, 1031-1036 (1997)
1996
  1. J. Chen, J.A. Bandoni, and J.A. Romagnoli "Robust PCA and normal region in multivariate statistical process monitoring" AIChE Journal 42, 12, 3563-3566 (1996)
  2. K.I. Diamantaras "Robust principal component extracting neural networks" IEEE Proceedings on Neural Networks, 1996 International Conference, 1, 74-77 (1996)
  3. D. Dong and T.J. McAvoy "Nonlinear principal component analysis--based on principal curves and neural networks" Computers & Chemical Engineering 20, 1, 65-78 (1996)
  4. D. Dong and T.J. McAvoy "Batch tracking via nonlinear principal component analysis" AIChE Journal 42, 8, 2199-2208 (1996)
  5. R. Dunia, S.J. Qin, T.F. Edgar, and T.J. McAvoy "Identification of faulty sensors using principal component analysis" AIChE Journal 42, 10, 2797-2812 (1996)
  6. P. Nomikos "Detection and diagnosis of abnormal batch operations based on multi-way principal component analysis" ISA Transactions 35, 3, 259-266 (1996)
  7. F. Peper and H. Noda "A symmetric linear neural network that learns principal components and their variances" IEEE Transactions on Neural Networks 7, 4, 1042-1047 (1996)
  8. A. Sudjianto, M.H. Hassoun and G.S. Wasserman "Extensions of principal component analysis for nonlinear feature extraction" IEEE Proceedings on Neural Networks, 1996 International Conference, 3, 1433-1438 (1996)
  9. L. Wang and J. Karhunen "A unified neural bigradient algorithm for robust PCA and MCA" International Journal of Neural Systems 7, 1, 53-67 (1996)
  10. J. Yen, R. Langari and L. Wang "Principal Components, B-splines, and Fuzzy System Reduction" International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 4, 6, 561-572 (1996)
1995
  1. L-H. Chen and S. Chang "An adaptive learning algorithm for principal component analysis" IEEE Transactions on Neural Networks 6, 5, 1255-1263 (1995)
  2. D.R. Lewin "Predictive maintenance using PCA" Control Engineering Practice 3, 3, 415-421 (1995)
  3. M. Prakash and M.N. Murty "A genetic approach for selection of (near-) optimal subsets of principal components for discrimination" Pattern Recognition Letters 16, 8, 781-787 (1995)
  4. 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)
  5. M. Soriano and C. Saloma "Cell classification by a learning principal component analyzer and a backpropagation neural network" Bioimaging 3, 4, 168-176 (1995)
  6. H. Tong and C.M. Crowe "Detection of gross erros in data reconciliation by principal component analysis" AIChE Journal 41, 7, 1712-1722 (1995)
  7. M.K. Tsatsanis and G.B. Giannakis "Principal component filter banks for optimal multiresolution analysis" IEEE Transactions on Signal Processing 43, 8, 1766-1777 (1995)
  8. K. Wenfu, R.H. Storer and C. Georgakis "Disturbance detection and isolation by dynamic principal component analysis" Chemometrics and Intelligent Laboratory Systems 30, 1, 179-196 (1995)
  9. L. Xu and A.L. Yuille "Robust Principal Component Analysis by Self-Organizing Rules Based on Statistical Physics Approach" IEEE Transactions on Neural Networks 6, 1, 131-143 (1995)
1994
  1. S. Coombes and J.G. Taylor "Using generalized principal component analysis to achieve associative memory in a Hopfield net" Network: Computation in Neural Systems 5, 1, 75-88 (1994)
  2. A. Itagaki, M. Takashima, Y. Ashino, C. Nishio and S. Nakanishi, S. "Fuzzy inference systems by genetic algorithm and factor analysis modeling for multivariate complex systems" IEEE Proceedings on Emerging Technologies and Factory Automation, ETFA '94 - Symposium, 199-205 (1994)
  3. J. Karhunen "Optimization criteria and nonlinear PCA neural networks" IEEE Proceedings on Neural Networks, 1994 World Congress on Computational Intelligence 2, 1241-1246 (1994)
  4. J. Karhunen and J. Joutsensalo "Representation and separation of signals using nonlinear PCA type learning" Neural Networks 7, 1, 113-127 (1994)
  5. S.Y. Kung, K.I. Diamantaras and J.S. Taur "Adaptive Principal component EXtraction (APEX) and applications" IEEE Transactions on Signal Processing 42, 5, 1202-1217 (1994)
  6. 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)
  7. L. Xu "Theories for unsupervised learning: PCA and its nonlinear extensions" IEEE Proceedings on Neural Networks, 1994 World Congress on Computational Intelligence 2, 1253-1257 (1994)
1993
  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. B. Freisleben "Parallel learning algorithms for principal component extraction" IEEE Proceedings on Artificial Neural Networks, Third International Conference, 267-271 (1993)
  3. J. Joutsensalo and J. Karhunen "Nonlinear multilayer principal component type subspace learning algorithms" IEEE Proceedings on Neural Networks for Signal Processing, III. The 1993 IEEE-SP Workshop, 68-77 (1993)
  4. G. Meghabghab and A. Kandel "A new ANN model and factor analysis of its optimization parameters " IEEE Proceedings - Southeastcon '93, 5p. (1993)
  5. T. Takahashi "Principal component analysis is a group action of SO(N) which minimizes an entropy function" IEEE Proceedings on Neural Networks, IJCNN '93-Nagoya, International Joint Conference 1, 355-358 (1993)
  6. T. Yonekura, Y. Tsutsumi, S. Sigiyama and T. Kikuchi "Piecewise linear factor analysis by four layer neural networks and its application for modeling the partial discharge data" IEEE Proceedings on Applications of Neural Networks to Power Systems, ANNPS '93, The Second International Forum, 475-480 (1993)
1992
  1. R.A. Mata-Toledo and D.A. Gustafson "A factor analysis of software complexity measures" Journal of Systems and Software 17, 3, 267-273 (1992)
  2. L. Xu and A. Yuille "Robust PCA learning rules based on statistical physics approach" IEEE Proceedings on Neural Networks, IJCNN 1992 - International Joint Conference , 812-817 (1992)
1991
  1. S. Bannour and M.R. Azimi-Sadjadi "Principal component extraction using recursive least squares learning method" IEEE Proceedings on Neural Networks, 1991 International Joint Conference 3, 2110-2115 (1991)
  2. T. Jing "An algorithm for estimating signals using factor analysis model" IEEE Proceedings on Circuits and Systems, 1991 China International Conference 1, 358-360 (1991)
  3. M.A. Kramer "Nonlinear principal component analysis using autoassociative neural networks" AIChE Journal 37, 2, 233-243 (1991)
  4. J.A. Power, D. Barry, A. Mathewson and W.A. Lane "Worst-case simulation using principal component analysis techniques: An investigation" Microelectronic Engineering 15, 1-4, 213-216 (1991)
  5. J.A. Sirat "A Fast Neural Algorithm for Principal Component Analysis and Singular Value Decomposition" International Journal of Neural Systems 2, 1-2, 147-155 (1991)
  6. J.M. Weisenberger, J.C. Craig and G.D. Abbott "Evaluation of a principal-components tactile aid for the hearing-impaired" Journal of the Acoustical Society of America 90, 4, Pt.1, 1944-1957 (1991)
1990
  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. S.Y. Kung "Orthogonal learning network for constrained principal component problem" IEEE Proceedings on Neural Networks, 1990 IJCNN International Joint Conference 1, 441-449 (1990)
  3. A. Leluk and A. Georgel "Towards unsupervised data-flow analysis: neural models for clustering and factor analysis of large sets of highly multidimensional objects" IEEE Proceedings on Neural Networks, 1990 IJCNN International Joint Conference 2, 441-446 (1990)
1989
  1. P. Baldi and K. Hornik "Neural networks and principal component analysis: Learning from examples without local minima" Neural Networks 2, 1, 53-58 (1989)
  2. Y. Chauvin "Principal component analysis by gradient descent on a constrained linear Hebbian cell" IEEE Proceedings on Neural Networks, IJCNN 1989 - International Joint Conference 1, 373-380 (1989)
  3. E. Oja "Neural Networks, Principal Components, and Subspaces" International Journal of Neural Systems 1, 1, 61-68 (1989)
  4. J.E. Purviance, M.C. Petzold and C. Potratz "A linear statistical FET model using principal component analysis" IEEE Transactions on Microwave Theory and Techniques 37, 9, 1389-1394 (1989)
  5. F. Salager-Meyer, G. Defives, C. Jensen and M. De Filipis "Principal component analysis and medical English discourse: An investigation into genre analysis" System 17, 1, 21-34 (1989)
1984
  1. E. Jonckheere "Principal component analysis of flexible systems--Open-loop case" IEEE Transactions on Automatic Control 29, 12, 1095-1097 (1984)
1981
  1. J.A. John "Factorial-balance and the analysis of designs with factorial structure" Journal of Statistical Planning and Inference 5, 1, 99-105 (1981)
  2. B. Moore "Principal component analysis in linear systems: Controllability, observability, and model reduction" IEEE Transactions on Automatic Control 26, 1, 17-32 (1981)
1978
  1. V.M. Chirkov and L.S. Tsesnek "Use of factor analysis methods for designing complicated optical systems" Soviet Journal of Optical Technology 45, 11, 688-692 (1978)

 


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