A hybrid generative/discriminative classification framework based on free-energy terms

Proceedings of the IEEE International Conference on Computer Vision

Volumn , Issue , 2009, Pages 2058-2065

  Perina, A ^a   Cristani, M ^a,b   Castellani, U ^a   Murino, V ^a,b   Jojic, N ^c  

^a UNIVERSITY OF VERONA   (Italy)

^b ISTITUTO ITALIANO DI TECNOLOGIA   (Italy)

^c MICROSOFT RESEARCH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION ,; CLASSIFICATION FRAMEWORK; CLASSIFICATION RESULTS; DISCRIMINATIVE CLASSIFIERS; FEATURE VECTORS; GENERATIVE MODEL; IMAGE FEATURES; INTRINSIC DATA; MULTI-LEVEL; SCENE RECOGNITION; SHAPE RECOGNITION; VARIATIONAL FREE ENERGY; WIDE SELECTION;

FREE ENERGY;

COMPUTER VISION;

EID: 77953199188     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCV.2009.5459453     Document Type: Conference Paper

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