200 search results - page 9 / 40 » Variational nonparametric Bayesian Hidden Markov Model |
113
Voted
UAI
2004
15 years 1 months ago
2004
Bayesian learning in undirected graphical models--computing posterior distributions over parameters and predictive quantities-is exceptionally difficult. We conjecture that for ge...
128
Voted
TSP
2008
14 years 10 months ago
2008
A new hierarchical nonparametric Bayesian framework is proposed for the problem of multi-task learning (MTL) with sequential data. The models for multiple tasks, each characterize...
103
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ICCV
2003
IEEE
16 years 2 months ago
2003
IEEE
Dynamic Probabilistic Networks (DPNs) are exploited for modelling the temporal relationships among a set of different object temporal events in the scene for a coherent and robust...
124
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IJCV
2008
14 years 12 months ago
2008
Image segmentation algorithms partition the set of pixels of an image into a specific number of different, spatially homogeneous groups. We propose a nonparametric Bayesian model f...
108
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TASLP
2002
14 years 12 months ago
2002
In this paper, we propose a robust compensation strategy to deal effectively with extraneous acoustic variations for spontaneous speech recognition. This strategy extends speaker a...