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CORR
2010
Springer
103views Education» more  CORR 2010»
15 years 2 months ago
Spatially-Adaptive Reconstruction in Computed Tomography Based on Statistical Learning
We propose a direct reconstruction algorithm for Computed Tomography, based on a local fusion of a few preliminary image estimates by means of a non-linear fusion rule. One such ru...
Joseph Shtok, Michael Zibulevsky, Michael Elad
BMVC
2010
15 years 17 days ago
On-line Adaption of Class-specific Codebooks for Instance Tracking
Off-line trained class-specific object detectors are designed to detect any instance of the class in a given image or video sequence. In the context of object tracking, however, o...
Juergen Gall, Nima Razavi, Luc J. Van Gool
214
Voted
CVPR
2010
IEEE
13 years 11 months ago
Abrupt motion tracking via adaptive stochastic approximation Monte Carlo sampling
Robust tracking of abrupt motion is a challenging task in computer vision due to the large motion uncertainty. In this paper, we propose a stochastic approximation Monte Carlo (...
Xiuzhuang Zhou and Yao Lu
ISBI
2009
IEEE
15 years 9 months ago
Direct Adaptive Algorithms for CT Reconstruction
This work concerns with linear and spatially-adaptive direct reconstruction algorithms for 2-D parallel-beam transmission tomography, extending the Filtered Back-Projection (FBP)....
Joseph Shtok, Michael Elad, Michael Zibulevsky
113
Voted
FCCM
2008
IEEE
133views VLSI» more  FCCM 2008»
15 years 9 months ago
Autonomous System on a Chip Adaptation through Partial Runtime Reconfiguration
This paper presents a proto-type autonomous signal processing system on a chip. The system is architected such that high performance digital signal processing occurs in the FPGAâ€...
Matthew French, Erik Anderson, Dong-In Kang