Subspace regularization: A new semi-supervised learning method

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

Volumn 5782 LNAI, Issue PART 2, 2009, Pages 586-601

  Zhang, Yan Ming ^a   Hou, Xinwen ^a   Xiang, Shiming ^a   Liu, Cheng Lin ^a  

^a INSTITUTE OF AUTOMATION   (China)

Author keywords

[No Author keywords available]

Indexed keywords

DATA POINTS; DECISION FUNCTIONS; EXPERIMENTAL COMPARISON; GEOMETRIC INFORMATION; HIGH DENSITY REGIONS; HIGH DIMENSIONAL DATA; LARGE SCALE DATA; LOW-DIMENSIONAL MANIFOLDS; OPTIMAL SUBSPACE; PROJECTION PURSUITS; SEMI-SUPERVISED LEARNING; SEMI-SUPERVISED LEARNING METHODS;

CLUSTERING ALGORITHMS; COMPUTATIONAL COMPLEXITY; EDUCATION; IMAGE RETRIEVAL; ROBOT LEARNING;

SUPERVISED LEARNING;

EID: 70349961692     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-04174-7_38     Document Type: Conference Paper

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