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» Decomposition of the NVALUE constraint
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ANNPR
2006
Springer
15 years 1 months ago
Fast Training of Linear Programming Support Vector Machines Using Decomposition Techniques
Abstract. Decomposition techniques are used to speed up training support vector machines but for linear programming support vector machines (LP-SVMs) direct implementation of decom...
Yusuke Torii, Shigeo Abe
IJCAI
2003
14 years 11 months ago
Amalgams of Constraint Satisfaction Problems
Many of standard practical techniques of solving constraint satisfaction problems use various decomposition methods to represent a problem as a combination of smaller ones. We stu...
Andrei A. Bulatov, Evgeny S. Skvortsov
IJCV
2000
133views more  IJCV 2000»
14 years 9 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
CSCLP
2005
Springer
15 years 3 months ago
Complete Propagation Rules for Lexicographic Order Constraints over Arbitrary Domains
We give an efficiently executable specification of the global constraint of lexicographic order in the Constraint Handling Rules (CHR) language. In contrast to previous approaches...
Thom W. Frühwirth
CORR
2004
Springer
152views Education» more  CORR 2004»
14 years 9 months ago
Non-negative matrix factorization with sparseness constraints
Non-negative matrix factorization (NMF) is a recently developed technique for finding parts-based, linear representations of non-negative data. Although it has successfully been a...
Patrik O. Hoyer