Self-normalizing dual systems for minor and principal component extraction

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volumn 4, Issue , 2007, Pages

  Hasan, Mohammed A ^a  

^a UNIVERSITY OF MINNESOTA DULUTH   (United States)

Author keywords

Dual purpose MCA PCA systems; Generalized eigenvalue problem; Global convergence; Liapunov stability; Minor components; Oja's learning rule; Principal components; Rayleigh quotient

Indexed keywords

DUAL-PURPOSE MCA/PCA SYSTEMS; GENERALIZED EIGENVALUE PROBLEM; GLOBAL CONVERGENCE; LIAPUNOV STABILITY; MINOR COMPONENTS; OJA'S LEARNING RULE; RAYLEIGH QUOTIENT;

CONVERGENCE OF NUMERICAL METHODS; EIGENVALUES AND EIGENFUNCTIONS; FEATURE EXTRACTION; LYAPUNOV FUNCTIONS; PRINCIPAL COMPONENT ANALYSIS;

SPEECH RECOGNITION;

EID: 34547550416     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2007.367212     Document Type: Conference Paper

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