217 search results - page 32 / 44 » Incremental learning of nonparametric Bayesian mixture model... |
134
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ICASSP
2011
IEEE
14 years 3 months ago
2011
IEEE
Korean is an agglutinative language that does not have explicit word boundaries. It is also a highly inflective language that exhibits severe coarticulation effects. These charac...
ICCV
2003
IEEE
15 years 5 months ago
2003
IEEE
Concept learning in content-based image retrieval (CBIR) systems is a challenging task. This paper presents an active concept learning approach based on mixture model to deal with...
ICML
2007
IEEE
16 years 17 days ago
2007
IEEE
A new hierarchical nonparametric Bayesian model is proposed for the problem of multitask learning (MTL) with sequential data. Sequential data are typically modeled with a hidden M...
112
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JMLR
2010
14 years 6 months ago
2010
Deep belief networks are a powerful way to model complex probability distributions. However, it is difficult to learn the structure of a belief network, particularly one with hidd...
141
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AROBOTS
2011
14 years 6 months ago
2011
Abstract— GP-BayesFilters are a general framework for integrating Gaussian process prediction and observation models into Bayesian filtering techniques, including particle filt...