598 search results - page 55 / 120 » Learning Generative Models with the Up-Propagation Algorithm |
CVPR
2007
IEEE
15 years 11 months ago
2007
IEEE
A jigsaw is a recently proposed generative model that describes an image as a composition of non-overlapping patches of varying shape, extracted from a latent image. By learning t...
JCP
2008
14 years 9 months ago
2008
In this paper, we propose a model named Logical Markov Decision Processes with Negation for Relational Reinforcement Learning for applying Reinforcement Learning algorithms on the ...
78
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ICCV
2007
IEEE
15 years 4 months ago
2007
IEEE
This article proposes an active basis model and a shared pursuit algorithm for learning deformable templates from image patches of various object categories. In our generative mod...
IJCV
1998
14 years 9 months ago
1998
The problem of tracking curves in dense visual clutter is challenging. Kalman filtering is inadequate because it is based on Gaussian densities which, being unimodal, cannot repre...
100
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KDD
2008
ACM
15 years 10 months ago
2008
ACM
The effectiveness of knowledge transfer using classification algorithms depends on the difference between the distribution that generates the training examples and the one from wh...