157 search results - page 13 / 32 » Posterior Regularization for Structured Latent Variable Mode... |
128
click to vote
ICDM
2007
IEEE
15 years 10 months ago
2007
IEEE
In spite of the popularity of probabilistic mixture models for latent structure discovery from data, mixture models do not have a natural mechanism for handling sparsity, where ea...
179
click to vote
EMNLP
2010
15 years 1 months ago
2010
In this paper, we develop multilingual supervised latent Dirichlet allocation (MLSLDA), a probabilistic generative model that allows insights gleaned from one language's data...
154
click to vote
ACML
2009
Springer
15 years 10 months ago
2009
Springer
Abstract: Our main contribution is to propose a novel model selection methodology, expectation minimization of information criterion (EMIC). EMIC makes a significant impact on the...
169
click to vote
ICIP
2007
IEEE
16 years 5 months ago
2007
IEEE
Tracking 3D people from monocular video is often poorly constrained. To mitigate this problem, prior knowledge should be exploited. In this paper, the Gaussian process spatio-temp...
125
click to vote
PKDD
2009
Springer
15 years 10 months ago
2009
Springer
Abstract. This article presents a method for training Dynamic Factor Graphs (DFG) with continuous latent state variables. A DFG includes factors modeling joint probabilities betwee...