441 search results - page 8 / 89 » An extension of the ICA model using latent variables |
109
Voted
JMLR
2007
15 years 13 days ago
2007
We introduce standardised building blocks designed to be used with variational Bayesian learning. The blocks include Gaussian variables, summation, multiplication, nonlinearity, a...
104
Voted
EMNLP
2007
15 years 2 months ago
2007
We use a generative history-based model to predict the most likely derivation of a dependency parse. Our probabilistic model is based on Incremental Sigmoid Belief Networks, a rec...
83
Voted
ACL
2010
14 years 10 months ago
2010
This paper describes the application of so-called topic models to selectional preference induction. Three models related to Latent Dirichlet Allocation, a proven method for modell...
147
Voted
CVPR
2011
IEEE
14 years 4 months ago
2011
IEEE
We propose a novel nonlinear, probabilistic and variational method for adding shape information to level setbased segmentation and tracking. Unlike previous work, we represent sha...
116
Voted
CVPR
2010
IEEE
15 years 8 months ago
2010
IEEE
We introduce a new class of probabilistic latent variable model called the Implicit Mixture of Conditional Restricted Boltzmann Machines (imCRBM) for use in human pose tracking. K...