Probabilistic models for generating, modelling and matching image categories

Proceedings - International Conference on Pattern Recognition

Volumn 16, Issue 3, 2002, Pages 970-973

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

^a TEL AVIV UNIVERSITY   (Israel)

^b CUTe Systems Ltd   (Israel)

Author keywords

[No Author keywords available]

Indexed keywords

MATHEMATICAL MODELS; PATTERN MATCHING; PROBABILITY; RANDOM PROCESSES; PATTERN RECOGNITION; PROBABILITY DISTRIBUTIONS;

IMAGE MATCHING; SUPERVISED IMAGES; UNSUPERVISED CLUSTERING; VISUALLY COHERENT IMAGES;

IMAGE PROCESSING; IMAGE MATCHING;

COHERENT IMAGES; GAUSSIAN MIXTURE DISTRIBUTION; IMAGE SETS; IMAGE SPACE; PROBABILISTIC MEASURES; PROBABILISTIC MODELS; RANDOM IMAGE; UNSUPERVISED CLUSTERING;

EID: 33751584574     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (5)

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4. H. Greenspan, J. Goldberger, and L. Ridel. A continuous probabilistic framework for image representation and matching. Journal of Computer Vision and Image Understanding, December 2001.
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