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» Geometric constraint satisfaction using optimization methods
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IJCV
2000
133views more  IJCV 2000»
15 years 1 months ago
Heteroscedastic Regression in Computer Vision: Problems with Bilinear Constraint
We present an algorithm to estimate the parameters of a linear model in the presence of heteroscedastic noise, i.e., each data point having a different covariance matrix. The algor...
Yoram Leedan, Peter Meer
BMCBI
2004
138views more  BMCBI 2004»
15 years 1 months ago
Constraint Logic Programming approach to protein structure prediction
Background: The protein structure prediction problem is one of the most challenging problems in biological sciences. Many approaches have been proposed using database information ...
Alessandro Dal Palù, Agostino Dovier, Feder...
ACMICEC
2007
ACM
127views ECommerce» more  ACMICEC 2007»
15 years 5 months ago
Decentralized task allocation using magnet: an empirical evaluation in the logistics domain
This paper presents a decentralized task allocation method that can handle allocation of tasks with time and precedence constraints in a multi-agent setting where not all informat...
Mark Hoogendoorn, Maria L. Gini, Catholijn M. Jonk...
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CORR
2010
Springer
168views Education» more  CORR 2010»
15 years 1 months ago
Penalty Decomposition Methods for Rank Minimization
In this paper we consider general rank minimization problems with rank appearing in either objective function or constraint. We first show that a class of matrix optimization prob...
Zhaosong Lu, Yong Zhang
CDC
2008
IEEE
129views Control Systems» more  CDC 2008»
15 years 7 months ago
Distributed subgradient methods and quantization effects
Abstract— We consider a convex unconstrained optimization problem that arises in a network of agents whose goal is to cooperatively optimize the sum of the individual agent objec...
Angelia Nedic, Alexander Olshevsky, Asuman E. Ozda...