Tensor Rank One Discriminant Analysis-A convergent method for discriminative multilinear subspace selection

Neurocomputing

Volumn 71, Issue 10-12, 2008, Pages 1866-1882

  Tao, Dacheng ^a,b   Li, Xuelong ^a   Wu, Xindong ^c   Maybank, Steve ^a  

^a UNIVERSITY OF LONDON   (United Kingdom)

^b HONG KONG POLYTECHNIC UNIVERSITY   (Hong Kong)

^c University of Vermont   (United States)

Author keywords

Elapsed time problem; Gait recognition; Human gait recognition; LDA; Linear discriminant analysis (LDA); PCA; Principal component analysis (PCA); Tensor Rank One Analysis (TR1A); Tensor Rank One Discriminant Analysis (TR1DA)

Indexed keywords

ALGORITHMS; FEATURE EXTRACTION; GRAPH THEORY; PIXELS; PRINCIPAL COMPONENT ANALYSIS; TENSORS;

ELAPSED TIME PROBLEM; HUMAN GAIT RECOGNITION; LINEAR DISCRIMINANT ANALYSIS; TENSOR RANK ONE DISCRIMINANT ANALYSIS;

DISCRIMINANT ANALYSIS;

ALGORITHM; ARTICLE; CONCEPTUAL FRAMEWORK; DATA BASE; DISCRIMINANT ANALYSIS; DISCRIMINATION LEARNING; FISHER EXACT TEST; GAIT; IMAGE ANALYSIS; KERNEL METHOD; MATHEMATICAL COMPUTING; PATTERN RECOGNITION; PRINCIPAL COMPONENT ANALYSIS; PRIORITY JOURNAL; SAMPLE SIZE;

EID: 44649106875     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neucom.2007.08.036     Document Type: Article

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