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» Speeeding Up Markov Chain Monte Carlo Algorithms
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ICASSP
2011
IEEE
14 years 3 months ago
Simultaneous object tracking and depth estimation using color shifting property of a multiple color-filter aperture camera
A multiple color-filter aperture (MCA) camera can provide depth information as well as color and intensity in the single-camera framework, where the MCA generates misalignment bet...
Seungwon Lee, Jinhee Lee, Joon Ki Paik
94
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CVPR
2005
IEEE
16 years 1 months ago
Multitarget Tracking with Split and Merged Measurements
In many multitarget tracking applications in computer vision, a detection algorithm provides locations of potential targets. Subsequently, the measurements are associated with pre...
Zia Khan, Tucker R. Balch, Frank Dellaert
CVPR
2007
IEEE
16 years 1 months ago
Compositional Boosting for Computing Hierarchical Image Structures
In this paper, we present a compositional boosting algorithm for detecting and recognizing 17 common image structures in low-middle level vision tasks. These structures, called &q...
Tianfu Wu, Gui-Song Xia, Song Chun Zhu
IJCV
2008
282views more  IJCV 2008»
16 years 4 months ago
Stereo Matching Using Population-Based MCMC
In this paper, we propose a new stereo matching method using the population-based Markov Chain Monte Carlo (Pop-MCMC), which belongs to the sampling-based methods. Since the previo...
Wonsik Kim (Seoul National University), Joonyoung ...
ICCAD
1997
IEEE
121views Hardware» more  ICCAD 1997»
15 years 3 months ago
Adaptive methods for netlist partitioning
An algorithm that remains in use at the core of many partitioning systems is the Kernighan-Lin algorithm and a variant the Fidducia-Matheysses (FM) algorithm. To understand the FM...
Wray L. Buntine, Lixin Su, A. Richard Newton, Andr...