A compositional model for low-dimensional image set representation

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

Volumn , Issue , 2014, Pages 1322-1329

  Mobahi, Hossein ^a   Liu, Ce ^b   Freeman, William T ^a  

^a MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

^b MICROSOFT RESEARCH   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SCIENCE; COMPUTERS; ELECTRICAL ENGINEERING; PATTERN RECOGNITION; SOFTWARE ENGINEERING;

COMPOSITIONAL MODELING; EFFICIENT LEARNING; IMAGE SETS; LOW DIMENSIONAL; LOW-DIMENSIONAL REPRESENTATION; LOW-DIMENSIONAL SUBSPACE; SHAPE DEFORMATION;

COMPUTER VISION;

EID: 84911434169     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2014.172     Document Type: Conference Paper

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