Locally principal component learning for face representation and recognition

Neurocomputing

Volumn 69, Issue 13-15, 2006, Pages 1697-1701

  Yang, Jian ^a,b   Zhang, David ^a   Yang, Jing yu ^b  

^a HONG KONG POLYTECHNIC UNIVERSITY   (Hong Kong)

^b NANJING UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

Author keywords

Dimensionality reduction; Face recognition; Feature extraction; Locality based learning; Principal component analysis (PCA)

Indexed keywords

DATA STRUCTURES; FEATURE EXTRACTION; KNOWLEDGE REPRESENTATION; LEARNING SYSTEMS; PRINCIPAL COMPONENT ANALYSIS;

DIMENSIONALITY REDUCTION; LOCALITY-BASED LEARNING; LOCALLY PRINCIPAL COMPONENT ANALYSIS;

FACE RECOGNITION;

ARTICLE; CONTROLLED STUDY; DATA ANALYSIS; DATA BASE; DISCRIMINATION LEARNING; EXPERIMENTAL DESIGN; FACE; HUMAN; HUMAN EXPERIMENT; IMAGE ANALYSIS; INFORMATION PROCESSING; LINEAR SYSTEM; NORMAL HUMAN; PATTERN RECOGNITION; PRINCIPAL COMPONENT ANALYSIS; PRIORITY JOURNAL; SAMPLE SIZE; STATISTICAL ANALYSIS;

EID: 33745213148     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neucom.2006.01.009     Document Type: Article

References (5)

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