190 search results - page 12 / 38 » Markov constraints: steerable generation of Markov sequences |
110
Voted
CVPR
2005
IEEE
16 years 2 months ago
2005
IEEE
We propose an algorithm for estimating disparity and occlusion in stereo video sequences. The algorithm defines a prior on sequences of disparity maps using a 3D Markov random fie...
131
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JMLR
2008
15 years 10 days ago
2008
Log-linear and maximum-margin models are two commonly-used methods in supervised machine learning, and are frequently used in structured prediction problems. Efficient learning of...
KDD
2004
ACM
16 years 24 days ago
2004
ACM
There is a notable interest in extending probabilistic generative modeling principles to accommodate for more complex structured data types. In this paper we develop a generative ...
119
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CORR
2010
Springer
15 years 14 days ago
2010
Springer
We investigate Monte Carlo Markov Chain (MCMC) procedures for the random sampling of some one-dimensional lattice paths with constraints, for various constraints. We will see that...
94
Voted
SYRCODIS
2008
15 years 1 months ago
2008
In this paper we offer several models of reference sequences (traces of references) using Markov chains for testing of the replacement policies in caching systems. These models en...