164 search results - page 13 / 33 » Flexible latent variable models for multi-task learning |
ICPR
2008
IEEE
15 years 5 months ago
2008
IEEE
The goal of this article is to present an effective and robust tracking algorithm for nonlinear feet motion by deploying particle filter integrated with Gaussian process latent v...
110
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JMLR
2012
13 years 1 months ago
2012
We propose a new family of latent variable models called max-margin min-entropy (m3e) models, which define a distribution over the output and the hidden variables conditioned on ...
123
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CVIU
2011
14 years 2 months ago
2011
In this paper, we aim to reconstruct free-form 3D models from only one or few silhouettes by learning the prior knowledge of a specific class of objects. Instead of heuristically...
ICCV
2011
IEEE
13 years 11 months ago
2011
IEEE
We describe a directed bilinear model that learns higherorder groupings among features of natural images. The model represents images in terms of two sets of latent variables: one...
NIPS
2007
15 years 21 days ago
2007
The expectation maximization (EM) algorithm is a widely used maximum likelihood estimation procedure for statistical models when the values of some of the variables in the model a...