Incremental learning of nonparametric Bayesian mixture models

26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR

Volumn , Issue , 2008, Pages

  Gomes, Ryan ^a   Welling, Max ^b   Perona, Pietro ^a  

^a CALIFORNIA INSTITUTE OF TECHNOLOGY   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; BAYESIAN NETWORKS; CHLORINE COMPOUNDS; CLUSTER ANALYSIS; COMPUTER VISION; EDUCATION; FEATURE EXTRACTION; FLOW OF SOLIDS; IMAGE PROCESSING; LEARNING ALGORITHMS; LEARNING SYSTEMS; PATTERN RECOGNITION;

BAYESIAN METHODS; BAYESIAN MIXTURES; COMPUTATIONAL REQUIREMENTS; DIRICHLET PROCESS; INCREMENTAL CLUSTERING; INCREMENTAL LEARNING; LARGE DATASETS; MODEL UPDATING; MODEL-BASED CLUSTERING; NON-PARAMETRIC; NUMBER OF CLUSTERS; VISION APPLICATIONS;

CLUSTERING ALGORITHMS;

EID: 51949103959     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2008.4587370     Document Type: Conference Paper

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