454 search results - page 5 / 91 » A Markov Random Field Model of Microarray Gridding |
188
Voted
ECCV
1994
Springer
15 years 10 months ago
1994
Springer
A variety of computer vision problems can be optimally posed as Bayesian labeling in which the solution of a problem is dened as the maximum a posteriori (MAP) probability estimate...
130
Voted
ICIP
2006
IEEE
16 years 12 days ago
2006
IEEE
— In this paper, a de-interlacing algorithm to find the optimal deinterlaced results given accuracy-limited motion information is proposed. The de-interlacing process is formula...
171
Voted
ICPR
2000
IEEE
16 years 7 months ago
2000
IEEE
Speech can be represented as a time/frequency distribution of energy using a multi-band filter bank. A Markov random field model, which takes into account the possible time asynch...
162
Voted
SIGIR
2005
ACM
15 years 12 months ago
2005
ACM
This paper develops a general, formal framework for modeling term dependencies via Markov random fields. The model allows for arbitrary text features to be incorporated as eviden...
238
Voted
CVPR
2009
IEEE
17 years 1 months ago
2009
IEEE
Much research effort on Automatic Image Annotation
(AIA) has been focused on Generative Model, due to its
well formed theory and competitive performance as compared
with many we...