113 search results - page 6 / 23 » Hidden Markov Model} Induction by Bayesian Model Merging |
SSPR
2010
Springer
14 years 8 months ago
2010
Springer
Many approaches to learning classifiers for structured objects (e.g., shapes) use generative models in a Bayesian framework. However, state-of-the-art classifiers for vectorial d...
ICPR
2008
IEEE
15 years 10 months ago
2008
IEEE
In this work we present a model that uses a Dirichlet Process (DP) with a dynamic spatial constraints to approximate a non-homogeneous hidden Markov model (NHMM). The coefficient ...
ICCV
2007
IEEE
15 years 11 months ago
2007
IEEE
We develop nonparametric Bayesian models for multiscale representations of images depicting natural scene categories. Individual features or wavelet coefficients are marginally de...
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CORR
2012
Springer
13 years 5 months ago
2012
Springer
Markov jump processes and continuous time Bayesian networks are important classes of continuous time dynamical systems. In this paper, we tackle the problem of inferring unobserve...
ICMCS
2005
IEEE
15 years 3 months ago
2005
IEEE
In this work we present a novel multi-modal mixed-state dynamic Bayesian network (DBN) for robust meeting event classification. The model uses information from lapel microphones,...