Maximal cliques that satisfy hard constraints with application to deformable object model learning

Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011, NIPS 2011

Volumn , Issue , 2011, Pages

  Wang, Xinggang ^a   Bai, Xiang ^a   Yang, Xingwei ^b   Liu, Wenyu ^a   Latecki, Longin Jan ^c  

^a HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

^b GE GLOBAL RESEARCH   (United States)

^c Temple University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER VISION; DEFORMATION; GRAPH THEORY;

CORE PROBLEMS; DEFORMABLE OBJECT MODELING; HARD CONSTRAINTS; LEARNING FRAMEWORKS; MAXIMAL CLIQUE; MODEL LEARNING; MUTUAL EXCLUSIONS; PART BASED; PARTICLE FILTER ALGORITHMS; WEIGHTED GRAPH;

INFERENCE ENGINES;

EID: 85162424447     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (20)

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