454 search results - page 23 / 91 » A Markov Random Field Model of Microarray Gridding |
68
Voted
JMLR
2010
14 years 4 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...
BMCBI
2007
14 years 9 months ago
2007
Several systems have been presented in the last years in order to manage the complexity of large microarray experiments. Although good results have been achieved, most systems ten...
85
Voted
CVPR
2003
IEEE
15 years 11 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...
186
click to vote
ICDE
2008
IEEE
15 years 11 months ago
2008
IEEE
In this paper, we develop a model for representing term dependence based on Markov Random Fields and present an approach based on Markov Chain Monte Carlo technique for generating ...
171
click to vote
CVPR
2009
IEEE
16 years 4 months ago
2009
IEEE
Markov random field (MRF, CRF) models are popular in
computer vision. However, in order to be computationally
tractable they are limited to incorporate only local interactions
a...