Weakly supervised learning of mid-level features with beta-bernoulli process restricted boltzmann machines

Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition

Volumn , Issue , 2013, Pages 476-483

  Mittelman, Roni ^a   Lee, Honglak ^a   Kuipers, Benjamin ^a   Savarese, Silvio ^a  

^a UNIVERSITY OF MICHIGAN   (United States)

Author keywords

attributes; Beta Bernoulli process; mid level features; Restricted Boltzmann Machine; semantics

Indexed keywords

ATTRIBUTES; COMPUTER VISION PROBLEMS; FEATURE REPRESENTATION; GENERALIZATION PERFORMANCE; MID-LEVEL FEATURES; RESTRICTED BOLTZMANN MACHINE; SEMANTIC CHARACTERIZATIONS; WEAKLY SUPERVISED LEARNING;

OBJECT RECOGNITION;

SEMANTICS;

EID: 84887350864     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2013.68     Document Type: Conference Paper

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