FOCI
2007
IEEE
14 years 5 months ago
2007
IEEE
— The exchange Monte Carlo method was proposed as an improved algorithm of Markov Chain Monte Carlo method and its effectiveness has been shown in many fields. In the exchange M...
CVPR
2007
IEEE
14 years 5 months ago
2007
IEEE
We propose a framework for general multiple target tracking, where the input is a set of candidate regions in each frame, as obtained from a state of the art background learning, ...
IPPS
2008
IEEE
14 years 6 months ago
2008
IEEE
The increasing availability of multi-core and multiprocessor architectures provides new opportunities for improving the performance of many computer simulations. Markov Chain Mont...
ICPR
2008
IEEE
14 years 6 months ago
2008
IEEE
This article presents a novel integrated approach to object of interest extraction, including learning to define target pattern and extracting by combining detection and segmenta...
ICPR
2008
IEEE
14 years 6 months ago
2008
IEEE
This paper proposes a new approach to describe the salient contours in cluttered scenes. No need to do the preprocessing, such as edge detection, we directly use a set of random s...
ICIP
2008
IEEE
14 years 6 months ago
2008
IEEE
We propose a new image and blur prior model, based on nonstationary autoregressive (AR) models, and use these to blindly deconvolve blurred photographic images, using the Gibbs sa...
ICC
2009
IEEE
14 years 6 months ago
2009
IEEE
—Statistical detectors that are based on Markov chain Monte Carlo (MCMC) simulators have emerged as promising low-complexity solutions to both multiple-input multipleoutput (MIMO...
ICPR
2010
IEEE
14 years 6 months ago
2010
IEEE
Many vision applications have been formulated as Markov Random Field (MRF) problems. Although many of them are discrete labeling problems, continuous formulation often achieves gre...
CVPR
2009
IEEE
14 years 9 months ago
2009
IEEE
Many vision problems have been formulated as en- ergy minimization problems and there have been signif- icant advances in energy minimization algorithms. The most widely-used energ...