Modeling the joint density of two images under a variety of transformations

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

Volumn , Issue , 2011, Pages 2793-2800

  Susskind, Joshua ^a   Hinton, Geoffrey ^b   Memisevic, Roland ^c   Pollefeys, Marc ^d  

^a UNIVERSITY OF CALIFORNIA SAN DIEGO   (United States)

^b UNIVERSITY OF TORONTO   (Canada)

^c GOETHE UNIVERSITY   (Germany)

^d ETH ZURICH   (Switzerland)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SCIENCE; COMPUTERS; ELECTRICAL ENGINEERING; SOFTWARE ENGINEERING;

BOLTZMANN MACHINES; CONDITIONAL MODELS; CORRELATION MATRIX; GENERATIVE MODEL; JOINT DENSITIES; JOINT DISTRIBUTIONS; MATCHING PERFORMANCE; MEASURE OF SIMILARITIES;

PATTERN RECOGNITION;

EID: 80052885960     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2011.5995541     Document Type: Conference Paper

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