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» Hardware-Efficient Belief Propagation
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CVPR
2010
IEEE
15 years 7 months ago
Efficient Piecewise Learning for Conditional Random Fields
Conditional Random Field models have proved effective for several low-level computer vision problems. Inference in these models involves solving a combinatorial optimization probl...
Karteek Alahari, Phil Torr
ISBI
2009
IEEE
15 years 6 months ago
Lesion Detection and Segmentation in Uterine Cervix Images Using an Arc-Level MRF
This study develops a procedure for automatic extraction and segmentation of a class-specific object (or region) by learning class-specific boundaries. We present and evaluate t...
Amir Alush, Hayit Greenspan, Jacob Goldberger
ICASSP
2009
IEEE
15 years 6 months ago
MIMO decoding based on stochastic reconstruction from multiple projections
Least squares (LS) fitting is one of the most fundamental techniques in science and engineering. It is used to estimate parameters from multiple noisy observations. In many probl...
Amir Leshem, Jacob Goldberger
ICPR
2008
IEEE
15 years 6 months ago
Face super-resolution using 8-connected Markov Random Fields with embedded prior
In patch based face super-resolution method, the patch size is usually very small, and neighbor patches’ relationship via overlapped regions is only to keep smoothness of recons...
Kai Guo, Xiaokang Yang, Rui Zhang, Guangtao Zhai, ...
ICRA
2008
IEEE
144views Robotics» more  ICRA 2008»
15 years 6 months ago
Decentralized mapping of robot-aided sensor networks
— A key problem in deploying sensor networks in real-world applications is that of mapping, i.e. determining the location of each sensor such that subsequent tasks such as tracki...
Joseph Djugash, Sanjiv Singh, Ben Grocholsky