596 search results - page 33 / 120 » Factorial Markov Random Fields |
JMLR
2010
14 years 6 months ago
2010
We propose a non-linear graphical model for structured prediction. It combines the power of deep neural networks to extract high level features with the graphical framework of Mar...
103
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CVPR
2003
IEEE
16 years 1 months ago
2003
IEEE
This paper proposes a unified framework for spatiotemporal segmentation of video sequences. A Bayesian network is presented to model the interactions among the motion vector field...
115
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ICIP
2003
IEEE
16 years 1 months ago
2003
IEEE
A new probabilistic image segmentation model based on hypothesis testing and Gibbs Random Fields is introduced. First, a probabilistic difference measure derived from a set of hyp...
ICIP
2008
IEEE
16 years 1 months ago
2008
IEEE
In this paper we carry out cooperatively both disparity and object boundary estimation by setting the two tasks in a unified Markovian framework. We introduce a new joint probabil...
103
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ICCV
2007
IEEE
16 years 1 months ago
2007
IEEE
In contrast to traditional Markov random field (MRF) models, we develop a Steerable Random Field (SRF) in which the field potentials are defined in terms of filter responses that ...