Kernel Principal component analysis through time for voice disorder classification

Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings

Volumn , Issue , 2006, Pages 5511-5514

  Alvarez, Mauricio ^a   Henao, Ricardo ^a   Castellanos, Germán ^b   Godino, Juan I ^c   Orozco, Alvaro ^a  

^a UNIVERSIDAD TECNOLÓGICA DE PEREIRA   (Colombia)

^b UNIVERSIDAD NACIONAL DE COLOMBIA   (Colombia)

^c UNIVERSIDAD POLITÉCNICA DE MADRID   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); DATABASE SYSTEMS; HIDDEN MARKOV MODELS; MULTIVARIANT ANALYSIS; PRINCIPAL COMPONENT ANALYSIS;

LINEAR MULTIVARIATE ANALYSIS; VOICE DISORDER CLASSIFICATION;

SPEECH SYNTHESIS;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; COMPUTER PROGRAM; HUMAN; INFORMATION RETRIEVAL; MULTIVARIATE ANALYSIS; PATHOLOGY; PRINCIPAL COMPONENT ANALYSIS; STATISTICAL MODEL; TIME; VOICE; VOICE DISORDER;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; INFORMATION STORAGE AND RETRIEVAL; MODELS, STATISTICAL; MULTIVARIATE ANALYSIS; PATTERN RECOGNITION, AUTOMATED; PRINCIPAL COMPONENT ANALYSIS; SOFTWARE; TIME; TIME FACTORS; VOICE; VOICE DISORDERS;

EID: 34047115285     PISSN: 05891019     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IEMBS.2006.260357     Document Type: Conference Paper

References (10)

1. Jolliffe I. T., Principal Component Analysis, Springer Verlag, Second Edition, ISBN 0-387-98950-1, 2002.
2. Voegtlin T., Recursive Principal Components Analysis, Neural Networks, vol. 18(8), 2005, pp. 1040-1050.
3. Ku W. and Storer R.H. and Georgakis C., Disturbance Detection and Isolation by Dynamic Principal Component Analysis, Chemometrics and Intelligent Laboratory Systems, vol. 30(1), 1995, pp. 179-196.
4. Jolliffe I. T., "Principal Component Analysis for Time Series and other non Independent Data", in Principal Component Analysis, Springer Verlag, Second Edition, ISBN 0-387-95442-2, 2002, pp. 299-337.
5. Shumway R.H. and Stoffer D.S., "Statistical Methods in Frequency Domain", in Time Series Analysis and Its Applications, Springer Verlag, Second Edition, ISBN 0-387-98950-1, 2005, pp. 465-483.
6. Schölkopf B. and Smola A. and Müller K-R., Nonlinear Component Analysis as a Kernel Eigenvalue Problem, Neural Computation, vol. 10(5), 1998, pp. 1299-1319.
7. Schölkopf B. and Smola A., Learning with Kernels Support Vector Machines, Regularization, Optimization and Beyond, MIT Press, ISBN 0-387-94559-8, 2002.
8. Huang X. and Acero A. and Hon H-W, Spoken Language Processing: A Guide to Theory, Algorithm and System Development, Prentice Hall, ISBN 0-130-22616-5, 2001.
9. Rabiner L. R., A Tutorial on Hidden Markov Models and Selected Applications in Speech Recognition, Proceedings of The IEEE, vol. 77(2), 1989.
10. Alvarez M. and Henao R., PCA for Time Series Classification - Supplementary Material, UTP, 2006. Available at http://ohm.utp.edu.co/rhenao/ adminsite/elements/files/kpcatt_sm.pdf.