Marginal fisher analysis and its variants for human gait recognition and content- based image retrieval

IEEE Transactions on Image Processing

Volumn 16, Issue 11, 2007, Pages 2811-2821

  Xu, Dong ^a   Yan, Shuicheng ^a   Tao, Daocheng ^b   Lin, Stephen ^c   Zhang, Hong Jiang ^d  

^a NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

^b HONG KONG POLYTECHNIC UNIVERSITY   (Hong Kong)

^c MICROSOFT RESEARCH ASIA   (China)

^d MICROSOFT RESEARCH   (United States)

Author keywords

Content based image retrieval (CBIR); Dimensionality reduction; Gait recognition; Marginal Fisher analysis (MFA); Relevance feedback

Indexed keywords

ALGORITHMS; CONTENT BASED RETRIEVAL; DATABASE SYSTEMS; IMAGE RETRIEVAL; MATRIX ALGEBRA; TENSORS;

CONTENT-BASED IMAGE RETRIEVAL (CBIR); HUMAN GAIT RECOGNITION; IMAGE RETRIEVAL DATABASE; MARGINAL FISHER ANALYSIS (MFA);

IMAGE RECOGNITION;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BIOMETRY; COMPUTER ASSISTED DIAGNOSIS; FACTUAL DATABASE; GAIT; HISTOLOGY; HUMAN; IMAGE ENHANCEMENT; IMAGE SUBTRACTION; INFORMATION RETRIEVAL; JOINT; METHODOLOGY; PHOTOGRAPHY; PHYSIOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BIOMETRY; DATABASES, FACTUAL; GAIT; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; INFORMATION STORAGE AND RETRIEVAL; JOINTS; PATTERN RECOGNITION, AUTOMATED; PHOTOGRAPHY; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SUBTRACTION TECHNIQUE;

EID: 36348982900     PISSN: 10577149     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIP.2007.906769     Document Type: Article

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