Using improved non-negative matrix factorization with projected gradient for single-trial feature extraction

Dianzi Yu Xinxi Xuebao/Journal of Electronics and Information Technology

Volumn 32, Issue 5, 2010, Pages 1121-1125

  Gao, Tao ^a   He, Ming Yi ^a  

^a NORTHWESTERN POLYTECHNICAL UNIVERSITY   (China)

Author keywords

Face recognition; Non negative Matrix Factorization(NMF); Projected gradient NMF; RBF network

Indexed keywords

FACE DATABASE; FACE RECOGNITION ALGORITHMS; GABOR FILTER; GRADIENT PROJECTIONS; HIGHER DIMENSIONAL FEATURES; MATRIX FACTORIZATIONS; MULTISCALES; NONNEGATIVE MATRIX FACTORIZATION; OPTIMIZATION METHOD; ORL FACE DATABASE; OTHER ALGORITHMS; PARTIAL CONTACT; PROJECTED GRADIENT; RBF NETWORK; RECOGNITION PERFORMANCE; RESEARCH AREAS; SINGLE SAMPLE; SINGLE TRAINING SAMPLE; TIME COMPLEXITY; TRAINING SAMPLE; YALE FACE DATABASE;

ARTIFICIAL INTELLIGENCE; BLIND SOURCE SEPARATION; DATABASE SYSTEMS; FACE RECOGNITION; FACTORIZATION; FEATURE EXTRACTION; LIGHT MEASUREMENT; MATHEMATICAL OPERATORS; PERSONNEL TRAINING; RADIAL BASIS FUNCTION NETWORKS;

MATRIX ALGEBRA;

EID: 77953235099     PISSN: 10095896     EISSN: None     Source Type: Journal    
DOI: 10.3724/SP.J.1146.2009.00622     Document Type: Article

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