Multi-subspace representation and discovery

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6912 LNAI, Issue PART 2, 2011, Pages 405-420

  Luo, Dijun ^a   Nie, Feiping ^a   Ding, Chris ^a   Huang, Heng ^a  

^a The University of Texas at Arlington   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AFFINE SUBSPACES; DATA POINTS; DATA REPRESENTATION MODELS; HIGH DIMENSIONAL DATA; LEARNING APPROACH; LEARNING TASKS; LOW RANK; MACHINE LEARNING PROBLEM; OPTIMIZATION APPROACH; OPTIMIZERS; QUALITY OF DATA; REAL WORLD DATA; REPRESENTATION MODEL; ROBUST DATUM; SEMI-SUPERVISED LEARNING; THEORETICAL SOLUTIONS;

CLUSTERING ALGORITHMS; SUPERVISED LEARNING;

KNOWLEDGE REPRESENTATION;

EID: 80052411944     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-23783-6_26     Document Type: Conference Paper

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