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» Rate-Distortion via Markov Chain Monte Carlo
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SAC
2011
ACM
14 years 15 days ago
Parallel multivariate slice sampling
Slice sampling provides an easily implemented method for constructing a Markov chain Monte Carlo (MCMC) algorithm. However, slice sampling has two major drawbacks: (i) it requires...
Matthew M. Tibbits, Murali Haran, John C. Liechty
79
Voted
ICMCS
2009
IEEE
219views Multimedia» more  ICMCS 2009»
14 years 7 months ago
Moving targets labeling and correspondence over multi-camera surveillance system based on Markov network
In this paper, we propose an efficient way to simultaneously label and map targets over a multi-camera surveillance system. In the system, we first fuse the detection results from...
Chingchun Huang, Sheng-Jyh Wang
TIP
2008
111views more  TIP 2008»
14 years 9 months ago
Unsupervised Bayesian Convex Deconvolution Based on a Field With an Explicit Partition Function
This paper proposes a non-Gaussian Markov field with a special feature: an explicit partition function. To the best of our knowledge, this is an original contribution. Moreover, th...
Jean-François Giovannelli
PAMI
2008
137views more  PAMI 2008»
14 years 9 months ago
Tracking the Visual Focus of Attention for a Varying Number of Wandering People
In this article, we define and address the problem of finding the visual focus of attention for a varying number of wandering people (VFOA-W)
Kevin Smith, Sileye O. Ba, Jean-Marc Odobez, Danie...
ICCV
2011
IEEE
13 years 9 months ago
Perturb-and-MAP Random Fields: Using Discrete Optimization\\to Learn and Sample from Energy Models
We propose a novel way to induce a random field from an energy function on discrete labels. It amounts to locally injecting noise to the energy potentials, followed by finding t...
George Papandreou, Alan L. Yuille