MML-based approach for high-dimensional unsupervised learning using the generalized Dirichlet mixture

IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops

Volumn 2005-September, Issue , 2005, Pages

  Bouguila, Nizar ^a   Ziou, Djemel ^a  

^a UNIVERSITÉ DE SHERBROOKE   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

CLUSTERING ALGORITHMS; DIMENSIONALITY REDUCTION; MAXIMUM PRINCIPLE; MIXTURES; OBJECT RECOGNITION; STOCHASTIC SYSTEMS;

ASYMMETRIC DISTRIBUTION; FINITE MIXTURE MODELING; GENERALIZED DIRICHLET DISTRIBUTION; GENERALIZED DIRICHLET MIXTURES; HIGH-DIMENSIONAL MODELS; IMAGE OBJECT RECOGNITION; MATHEMATICAL PROPERTIES; STOCHASTIC EXPECTATION MAXIMIZATION;

COMPUTER VISION;

EID: 38349177518     PISSN: 21607508     EISSN: 21607516     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2005.493     Document Type: Conference Paper

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