Multilinear sparse principal component analysis

IEEE Transactions on Neural Networks and Learning Systems

Volumn 25, Issue 10, 2014, Pages 1942-1950

  Lai, Zhihui ^a,b   Xu, Yong ^a   Chen, Qingcai ^a   Yang, Jian ^c   Zhang, David ^d  

^a HARBIN INSTITUTE OF TECHNOLOGY   (China)

^b SHENZHEN UNIVERSITY   (China)

^c NANJING UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

^d HONG KONG POLYTECHNIC UNIVERSITY   (Hong Kong)

Author keywords

Dimensionality reduction; face recognition; feature extraction; principal component analysis (PCA); sparse projections

Indexed keywords

FEATURE EXTRACTION; PRINCIPAL COMPONENT ANALYSIS;

DIMENSIONALITY REDUCTION; SPARSE PRINCIPAL COMPONENT ANALYSIS; SPARSE PROJECTIONS;

FACE RECOGNITION;

ALGORITHM; AUTOMATED PATTERN RECOGNITION; COMPUTER SIMULATION; FACE; FACTUAL DATABASE; HUMAN; PATTERN RECOGNITION; PRINCIPAL COMPONENT ANALYSIS; STATISTICAL MODEL; STATISTICS AND NUMERICAL DATA;

ALGORITHMS; COMPUTER SIMULATION; DATABASES, FACTUAL; FACE; HUMANS; LINEAR MODELS; PATTERN RECOGNITION, AUTOMATED; PATTERN RECOGNITION, VISUAL; PRINCIPAL COMPONENT ANALYSIS;

EID: 84907814012     PISSN: 2162237X     EISSN: 21622388     Source Type: Journal    
DOI: 10.1109/TNNLS.2013.2297381     Document Type: Article

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