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» A Markov random field model for term dependencies
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CVPR
2009
IEEE
1081views Computer Vision» more  CVPR 2009»
16 years 4 months ago
Learning Real-Time MRF Inference for Image Denoising
Many computer vision problems can be formulated in a Bayesian framework with Markov Random Field (MRF) or Conditional Random Field (CRF) priors. Usually, the model assumes that ...
Adrian Barbu (Florida State University)
SIGMOD
2009
ACM
189views Database» more  SIGMOD 2009»
15 years 10 months ago
Query segmentation using conditional random fields
A growing mount of available text data are being stored in relational databases, giving rise to an increasing need for the RDBMSs to support effective text retrieval. In this pape...
Xiaohui Yu, Huxia Shi
FS
2006
81views more  FS 2006»
14 years 9 months ago
Optimal portfolio choice in the bond market
We consider the Merton problem of optimal portfolio choice when the traded instruments are the set of zero-coupon bonds. Working within an infinite-factor Markovian Heath-Jarrow-Mo...
Nathanael Ringer, Michael Tehranchi
IBPRIA
2009
Springer
14 years 7 months ago
Real-Time Motion Detection for a Mobile Observer Using Multiple Kernel Tracking and Belief Propagation
We propose a novel statistical method for motion detection and background maintenance for a mobile observer. Our method is based on global motion estimation and statistical backgro...
Marc Vivet, Brais Martínez, Xavier Binefa
ICIP
2008
IEEE
15 years 4 months ago
MAP-MRF approach for binarization of degraded document image
We propose an algorithm for the binarization of document images degraded by uneven light distribution, based on the Markov Random Field modeling with Maximum A Posteriori probabil...
Jung Gap Kuk, Nam Ik Cho, Kyoung Mu Lee