Applying the information bottleneck principle to unsupervised clustering of discrete and continuous image representations

Proceedings of the IEEE International Conference on Computer Vision

Volumn 1, Issue , 2003, Pages 370-377

  Gordon, Shiri ^a   Greenspan, Hayit ^a   Goldberger, Jacob ^b  

^a TEL AVIV UNIVERSITY   (Israel)

^b CUTe Systems Ltd   (Israel)

Author keywords

[No Author keywords available]

Indexed keywords

CONTENT BASED RETRIEVAL; DATABASE SYSTEMS; INFORMATION THEORY; MAXIMUM PRINCIPLE; PROBABILITY DISTRIBUTIONS;

CONTINUOUS IMAGE REPRESENTATIONS; DISCRETE IMAGE REPRESENTATIONS; INFORMATION BOTTLENECK PRINCIPLE; UNSUPERVISED CLUSTERING;

IMAGING SYSTEMS;

EID: 0344120262     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/iccv.2003.1238368     Document Type: Conference Paper

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