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143
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UAI
2008
15 years 4 months ago
Projected Subgradient Methods for Learning Sparse Gaussians
Gaussian Markov random fields (GMRFs) are useful in a broad range of applications. In this paper we tackle the problem of learning a sparse GMRF in a high-dimensional space. Our a...
John Duchi, Stephen Gould, Daphne Koller
131
Voted
VISAPP
2007
15 years 4 months ago
Image deconvolution using a stochastic differential equation approach
We consider the problem of image deconvolution. We foccus on a Bayesian approach which consists of maximizing an energy obtained by a Markov Random Field modeling. MRFs are classi...
Xavier Descombes, M. Lebellego, Elena Zhizhina
CORR
2006
Springer
107views Education» more  CORR 2006»
15 years 3 months ago
The Multiple Access Channel with Feedback and Correlated Sources
Abstract-- In this paper, we investigate communication strategies for the multiple access channel with feedback and correlated sources (MACFCS). The MACFCS models a wireless sensor...
Lawrence Ong, Mehul Motani
143
Voted
ACL
2010
15 years 1 months ago
Identifying Non-Explicit Citing Sentences for Citation-Based Summarization
Identifying background (context) information in scientific articles can help scholars understand major contributions in their research area more easily. In this paper, we propose ...
Vahed Qazvinian, Dragomir R. Radev
BMVC
2010
15 years 1 months ago
Motion Coherent Tracking with Multi-label MRF optimization
We present a novel off-line algorithm for target segmentation and tracking in video. In our approach, video data is represented by a multi-label Markov Random Field model, and seg...
David Tsai, Matthew Flagg, James M. Rehg