405 search results - page 41 / 81 » Bayesian Gaussian Process Latent Variable Model |
ICIP
2000
IEEE
15 years 4 months ago
2000
IEEE
Point Distribution Models are useful tools for modelling the variability of particular classes of shapes. A common approach is to apply a Principle Component Analysis to the data,...
124
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CORR
2012
Springer
13 years 7 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...
104
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ICASSP
2010
IEEE
14 years 12 months ago
2010
IEEE
The Hidden Markov Model (HMM) has been widely used in many applications such as speech recognition. A common challenge for applying the classical HMM is to determine the structure...
103
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ICML
2007
IEEE
16 years 18 days ago
2007
IEEE
We1 present a new actor-critic learning model in which a Bayesian class of non-parametric critics, using Gaussian process temporal difference learning is used. Such critics model ...
103
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PAMI
2010
14 years 10 months ago
2010
—We consider the problem of inferring and modeling topics in a sequence of documents with known publication dates. The documents at a given time are each characterized by a topic...