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» The Shortcut Problem - Complexity and Approximation
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TSP
2008
102views more  TSP 2008»
15 years 4 months ago
A Minimax Chebyshev Estimator for Bounded Error Estimation
We develop a nonlinear minimax estimator for the classical linear regression model assuming that the true parameter vector lies in an intersection of ellipsoids. We seek an estimat...
Yonina C. Eldar, Amir Beck, Marc Teboulle
VISAPP
2007
15 years 6 months ago
Modeling non-gaussian noise for robust image analysis
Accurate noise models are important to perform reliable robust image analysis. Indeed, many vision problems can be seen as parameter estimation problems. In this paper, two noise m...
Sio-Song Ieng, Jean-Philippe Tarel, Pierre Charbon...
MOC
2000
124views more  MOC 2000»
15 years 4 months ago
Local and parallel finite element algorithms based on two-grid discretizations
A number of new local and parallel discretization and adaptive finite element algorithms are proposed and analyzed in this paper for elliptic boundary value problems. These algorit...
Jinchao Xu, Aihui Zhou
PR
2000
130views more  PR 2000»
15 years 4 months ago
Self-annealing and self-annihilation: unifying deterministic annealing and relaxation labeling
Deterministic annealing and relaxation labeling algorithms for classification and matching are presented and discussed. A new approach--self annealing--is introduced to bring dete...
Anand Rangarajan
IJPRAI
1998
100views more  IJPRAI 1998»
15 years 4 months ago
Obtaining The Correspondence between Bayesian and Neural Networks
We present in this paper a novel method for eliciting the conditional probability matrices needed for a Bayesian network with the help of a neural network. We demonstrate how we c...
Athena Stassopoulou, Maria Petrou