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CORR
2010
Springer
116views Education» more  CORR 2010»
13 years 10 months ago
Estimation with Random Linear Mixing, Belief Propagation and Compressed Sensing
Abstract--We apply Guo and Wang's relaxed belief propagation (BP) method to the estimation of a random vector from linear measurements followed by a componentwise probabilisti...
Sundeep Rangan
CONSTRAINTS
2008
89views more  CONSTRAINTS 2008»
13 years 10 months ago
A Reinforcement Learning Approach to Interval Constraint Propagation
When solving systems of nonlinear equations with interval constraint methods, it has often been observed that many calls to contracting operators do not participate actively to th...
Frédéric Goualard, Christophe Jerman...
CVPR
2004
IEEE
14 years 12 months ago
Multi-Scale Visual Tracking by Sequential Belief Propagation
A novel statistical method is proposed in this paper to overcome abrupt motion for robust visual tracking. Existing tracking methods that are based on the small motion assumption ...
Gang Hua, Ying Wu
VISUALIZATION
1999
IEEE
14 years 2 months ago
Tensorlines: Advection-Diffusion Based Propagation through Diffusion Tensor Fields
Tracking linear features through tensor field datasets is an open research problem with widespread utility in medical and engineering disciplines. Existing tracking methods, which...
David M. Weinstein, Gordon L. Kindlmann, Eric C. L...
NIPS
1996
13 years 11 months ago
Interpreting Images by Propagating Bayesian Beliefs
A central theme of computational vision research has been the realization that reliable estimation of local scene properties requires propagating measurements across the image. Ma...
Yair Weiss