From the idea of "sparse representation" to a representation-based transformation method for feature extraction

Neurocomputing

Volumn 113, Issue , 2013, Pages 168-176

  Xu, Yong ^a   Zhu, Qi ^a   Fan, Zizhu ^a,c   Wang, Yaowu ^b   Pan, Jeng Shyang ^a  

^a HARBIN INSTITUTE OF TECHNOLOGY   (China)

^b Key Laboratory of Shenzhen Urban Planning and Decision Making Simulation   (China)

^c EAST CHINA JIAOTONG UNIVERSITY   (China)

Author keywords

Biometrics; Face recognition; Feature extraction; Sparse representation

Indexed keywords

DISTANCE-BASED CLASSIFICATION; GAIT RECOGNITION; LINEAR COMBINATIONS; LINEAR DISCRIMINANT ANALYSIS; SPARSE REPRESENTATION; TRAINING SAMPLE; TRANSFORMATION METHODS; WEIGHTED DISTANCE;

BIOMETRICS; FACE RECOGNITION; FEATURE EXTRACTION; OPTIMIZATION; PRINCIPAL COMPONENT ANALYSIS;

SAMPLING;

ARTICLE; AUTOMATED PATTERN RECOGNITION; BIOMETRY; CLASSIFICATION; DISCRIMINANT ANALYSIS; FACE; FACE RECOGNITION; FEATURE EXTRACTION; INFORMATION PROCESSING; LINEAR DISCRIMINANT ANALYSIS; PRINCIPAL COMPONENT ANALYSIS; PRIORITY JOURNAL; REPRESENTATION BASED TRANSFORMATION METHOD; SPARSE REPRESENTATION;

EID: 84877593847     PISSN: 09252312     EISSN: 18728286     Source Type: Journal    
DOI: 10.1016/j.neucom.2013.01.036     Document Type: Article

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