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116
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ICCD
1995
IEEE
100views Hardware» more  ICCD 1995»
15 years 7 months ago
Transformation of min-max optimization to least-square estimation and application to interconnect design optimization
This paper describes a novel approach to nd a tighter bound of the transformation of the Min-Max problems into the one of Least-Square Estimation. It is well known that the above ...
Jimmy Shinn-Hwa Wang, Wayne Wei-Ming Dai
GECCO
2003
Springer
109views Optimization» more  GECCO 2003»
15 years 9 months ago
Real Royal Road Functions for Constant Population Size
Evolutionary and genetic algorithms (EAs and GAs) are quite successful randomized function optimizers. This success is mainly based on the interaction of different operators like ...
Tobias Storch, Ingo Wegener
139
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JMLR
2010
129views more  JMLR 2010»
14 years 10 months ago
Learning Polyhedral Classifiers Using Logistic Function
In this paper we propose a new algorithm for learning polyhedral classifiers. In contrast to existing methods for learning polyhedral classifier which solve a constrained optimiza...
Naresh Manwani, P. S. Sastry
FGCS
2008
135views more  FGCS 2008»
15 years 3 months ago
An on-line replication strategy to increase availability in Data Grids
Data is typically replicated in a Data Grid to improve the job response time and data availability. Strategies for data replication in a Data Grid have previously been proposed, b...
Ming Lei, Susan V. Vrbsky, Xiaoyan Hong
150
Voted
CVPR
2011
IEEE
14 years 12 months ago
Learning Non-Local Range Markov Random Field for Image Restoration
In this paper, we design a novel MRF framework which is called Non-Local Range Markov Random Field (NLRMRF). The local spatial range of clique in traditional MRF is extended to th...
Sun Jian, Marshall Tappen