200 search results - page 9 / 40 » Variational nonparametric Bayesian Hidden Markov Model |
138
Voted
UAI
2004
15 years 4 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...
153
Voted
TSP
2008
15 years 1 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...
131
Voted
ICCV
2003
IEEE
16 years 4 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...
149
Voted
IJCV
2008
15 years 2 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...
135
Voted
TASLP
2002
15 years 2 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...