Predictive subspace learning for multi-view data: A large margin approach

Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010, NIPS 2010

Volumn , Issue , 2010, Pages

  Chen, Ning ^a,b   Zhu, Jun ^b   Xing, Eric P ^b  

^a TSINGHUA NATIONAL LABORATORY FOR INFORMATION SCIENCE AND TECHNOLOGY   (China)

^b Carnegie Mellon University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

IMAGE ENHANCEMENT;

IMAGE ANNOTATION; IMAGES CLASSIFICATION; LARGE MARGINS; LARGE-MARGIN LEARNING; LEARNING FRAMEWORKS; MARKOV NETWORKS; MULTI-VIEW DATUM; MULTIPLE VIEWS; SUBSPACE LEARNING; SUBSPACE REPRESENTATION;

IMAGE CLASSIFICATION;

EID: 85161973444     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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