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CORR
2010
Springer
103views Education» more  CORR 2010»
13 years 7 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
13 years 5 months 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
CVPR
2010
IEEE
12 years 4 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
14 years 2 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
FCCM
2008
IEEE
133views VLSI» more  FCCM 2008»
14 years 2 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