Maximum margin criterion with tensor representation

Neurocomputing

Volumn 73, Issue 10-12, 2010, Pages 1541-1549

  Hu, Rong Xiang ^a,b   Jia, Wei ^a   Huang, De Shuang ^a   Lei, Ying Ke ^a,b,c  

^a INSTITUTE OF INTELLIGENT MACHINES   (China)

^b UNIVERSITY OF SCIENCE AND TECHNOLOGY OF CHINA   (China)

^c ELECTRONIC ENGINEERING INSTITUTE   (China)

Author keywords

Maximum Margin Criterion; Subspace learning; Tensor representation

Indexed keywords

CONCURRENT SUBSPACES ANALYSIS; DATA REPRESENTATIONS; DIMENSIONALITY REDUCTION; HIGHER-ORDER TENSOR; IMAGE OBJECTS; MATRIX; MAXIMUM MARGIN CRITERIONS; MODE OPTIMIZATION; RECOGNITION RATES; SUBSPACE LEARNING; TENSOR REPRESENTATION; VECTOR DATA; VECTOR-BASED METHODS;

DISCRIMINANT ANALYSIS; METALLIC MATRIX COMPOSITES;

TENSORS;

ACCURACY; ALGORITHM; ANALYTIC METHOD; ARTICLE; CALCULATION; CONCURRENT SUBSPACES ANALYSIS; DATA BASE; INTERMETHOD COMPARISON; MAXIMUM MARGIN CRITERION; MULTILINEAR DISCRIMINANT ANALYSIS; PRIORITY JOURNAL;

EID: 77952545688     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neucom.2009.11.036     Document Type: Article

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