Learning multiscale representations of natural scenes using dirichlet processes

Proceedings of the IEEE International Conference on Computer Vision

Volumn , Issue , 2007, Pages

  Kivinen, Jyri J ^a,b   Sudderth, Erik B ^c   Jordan, Michael I ^c,d  

^a AALTO UNIVERSITY   (Finland)

^b INTERNATIONAL COMPUTER SCIENCE INSTITUTE   (United States)

^c UNIVERSITY OF CALIFORNIA   (United States)

^d UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; BAYESIAN NETWORKS; CHLORINE COMPOUNDS; COMPUTER NETWORKS; COMPUTER VISION; CONTROL SYSTEM ANALYSIS; CONTROL THEORY; IMAGE ENHANCEMENT; IMAGE PROCESSING; IMAGE SEGMENTATION; MARKOV PROCESSES; MATHEMATICAL MODELS; MONTE CARLO METHODS; STATE SPACE METHODS; TREES (MATHEMATICS); VARIATIONAL TECHNIQUES;

MULTI-SCALE REPRESENTATION; NATURAL SCENES;

HIDDEN MARKOV MODELS;

EID: 50649113682     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCV.2007.4408870     Document Type: Conference Paper

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