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AAAI
1996
13 years 9 months ago
A Graph-Based Method for Improving GSAT
GSAT is a randomized greedy local repair procedure that was introduced for solving propositional satis ability and constraint satisfaction problems. We present an improvement to G...
Kalev Kask, Rina Dechter
CVPR
2003
IEEE
14 years 9 months ago
Vector-Valued Image Regularization with PDE's : A Common Framework for Different Applications
1 We address the problem of vector-valued image regularization with variational methods and PDE's. From the study of existing formalisms, we propose a unifying framework base...
David Tschumperlé, Rachid Deriche
JMLR
2012
11 years 10 months ago
Robust Multi-task Regression with Grossly Corrupted Observations
We consider the multiple-response regression problem, where the response is subject to sparse gross errors, in the high-dimensional setup. We propose a tractable regularized M-est...
Huan Xu, Chenlei Leng
SIAMNUM
2010
120views more  SIAMNUM 2010»
13 years 2 months ago
Sparse Spectral Approximations of High-Dimensional Problems Based on Hyperbolic Cross
Hyperbolic cross approximations by some classical orthogonal polynomials/functions in both bounded and unbounded domains are considered in this paper. Optimal error estimates in pr...
Jie Shen, Li-lian Wang
JC
2006
61views more  JC 2006»
13 years 7 months ago
The discretized discrepancy principle under general source conditions
We discuss adaptive strategies for choosing regularization parameters in TikhonovPhillips regularization of discretized linear operator equations. Two rules turn out to be entirel...
Peter Mathé, Sergei V. Pereverzev