Trace ratio problem revisited

IEEE Transactions on Neural Networks

Volumn 20, Issue 4, 2009, Pages 729-735

  Jia, Yangqing ^a   Nie, Feiping ^a   Zhang, Changshui ^a  

^a TSINGHUA UNIVERSITY   (China)

Author keywords

Dimensionality reduction; Eigenvalue perturbation; Newton Raphson method; Trace ratio (TR)

Indexed keywords

DIMENSIONALITY REDUCTION; DIMENSIONALITY REDUCTION ALGORITHMS; EFFICIENT ALGORITHMS; EIGENVALUE PERTURBATION; EIGENVALUE PERTURBATION THEORIES; EMPIRICAL RESULTS; GENERALIZED EIGENVALUE DECOMPOSITIONS; GLOBAL OPTIMUM SOLUTIONS; MACHINE-LEARNING; OPTIMIZATION PROBLEMS; RATIO PROBLEMS; TRACE RATIO (TR);

BLIND SOURCE SEPARATION; CONVERGENCE OF NUMERICAL METHODS; EIGENVALUES AND EIGENFUNCTIONS; INVERSE KINEMATICS; LEARNING ALGORITHMS; LEARNING SYSTEMS; NEWTON-RAPHSON METHOD; PATTERN RECOGNITION;

PERTURBATION TECHNIQUES;

EID: 67349282310     PISSN: 10459227     EISSN: None     Source Type: Journal    
DOI: 10.1109/TNN.2009.2015760     Document Type: Article

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