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» An extension of the ICA model using latent variables
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NIPS
1996
13 years 11 months ago
Continuous Sigmoidal Belief Networks Trained using Slice Sampling
Real-valued random hidden variables can be useful for modelling latent structure that explains correlations among observed variables. I propose a simple unit that adds zero-mean G...
Brendan J. Frey
PRL
2006
119views more  PRL 2006»
13 years 9 months ago
Exploring the use of latent topical information for statistical Chinese spoken document retrieval
Information retrieval which aims to provide people with easy access to all kinds of information is now becoming more and more emphasized. However, most approaches to information r...
Berlin Chen
ECCV
2010
Springer
14 years 3 months ago
A Discriminative Latent Model of Object Classes and Attributes
Abstract. We present a discriminatively trained model for joint modelling of object class labels (e.g. “person”, “dog”, “chair”, etc.) and their visual attributes (e.g....
JMLR
2010
93views more  JMLR 2010»
13 years 4 months ago
Distinguishing between cause and effect
We propose a novel method for inferring whether X causes Y or vice versa from joint observations of X and Y . The basic idea is to model the observed data using probabilistic late...
Joris M. Mooij, Dominik Janzing
ECCV
2010
Springer
14 years 3 months ago
Inferring 3D Shapes and Deformations from Single Views
Abstract. In this paper we propose a probabilistic framework that models shape variations and infers dense and detailed 3D shapes from a single silhouette. We model two types of sh...