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VISAPP
2008
15 years 4 months ago
Pose Clustering From Stereo Data
Abstract. This article describes an algorithm for pose or motion estimation based on clustering of parameters in the six-dimensional pose space. The parameter samples are computed ...
Ulrich Hillenbrand
CVPR
2009
IEEE
1081views Computer Vision» more  CVPR 2009»
16 years 10 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)
102
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SAC
2006
ACM
15 years 9 months ago
Evaluating unstructured peer-to-peer lookup overlays
Unstructured peer-to-peer lookup systems incur small constant overhead per single join or leave operation, and can easily support keyword searches. Hence, they are suitable for dy...
Idit Keidar, Roie Melamed
123
Voted
ICAI
2003
15 years 4 months ago
Threshold Behavior in a Boolean Network Model for SAT
Boolean satisfiability (SAT) is the canonical NP-complete problem that plays an important role in AI and has many practical applications in Computer Science in general. Boolean n...
Alejandro Bugacov, Aram Galstyan, Kristina Lerman
JMLR
2010
115views more  JMLR 2010»
15 years 1 months ago
Message-passing for Graph-structured Linear Programs: Proximal Methods and Rounding Schemes
The problem of computing a maximum a posteriori (MAP) configuration is a central computational challenge associated with Markov random fields. There has been some focus on “tr...
Pradeep Ravikumar, Alekh Agarwal, Martin J. Wainwr...