Dirichlet process gaussian mixture models: Choice of the base distribution

Journal of Computer Science and Technology

Volumn 25, Issue 4, 2010, Pages 653-664

  Görür, Dilan ^a   Rasmussen, Carl Edward ^b,c  

^a UNIVERSITY COLLEGE LONDON   (United Kingdom)

^b UNIVERSITY OF CAMBRIDGE   (United Kingdom)

^c MAX PLANCK INSTITUTE FOR BIOLOGICAL CYBERNETICS   (Germany)

Author keywords

Bayesian nonparametrics; Dirichlet processes; Gaussian mixtures

Indexed keywords

COMMUNICATION CHANNELS (INFORMATION THEORY); COMPUTATIONAL EFFICIENCY; GAUSSIAN DISTRIBUTION; MARKOV PROCESSES; OBJECT RECOGNITION;

BAYESIAN MIXTURE MODEL; BAYESIAN NONPARAMETRICS; DIRICHLET PROCESS; DIRICHLET PROCESS MIXTURES (DPM); GAUSSIAN MIXTURE MODEL; GAUSSIAN MIXTURES; MARKOV CHAIN MONTE-CARLO; NON-PARAMETRIC MIXTURE MODELS;

VARIATIONAL TECHNIQUES;

EID: 78650297540     PISSN: 10009000     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11390-010-9355-8     Document Type: Article

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