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» A Mean-Variance Optimization algorithm
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HEURISTICS
2006
197views more  HEURISTICS 2006»
15 years 7 months ago
Bucket elimination for multiobjective optimization problems
Multiobjective optimization deals with problems involving multiple measures of performance that should be optimized simultaneously. In this paper we extend bucket elimination (BE),...
Emma Rollon, Javier Larrosa
CVPR
2003
IEEE
16 years 9 months ago
Optimal Linear Representations of Images for Object Recognition
Although linear representations are frequently used in image analysis, their performances are seldom optimal in specific applications. This paper proposes a stochastic gradient al...
Xiuwen Liu, Anuj Srivastava, Kyle Gallivan
208
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ICML
2009
IEEE
16 years 8 months ago
Robot trajectory optimization using approximate inference
The general stochastic optimal control (SOC) problem in robotics scenarios is often too complex to be solved exactly and in near real time. A classical approximate solution is to ...
Marc Toussaint
WABI
2001
Springer
112views Bioinformatics» more  WABI 2001»
15 years 11 months ago
Finding an Optimal Inversion Median: Experimental Results
We derive a branch-and-bound algorithm to find an optimal inversion median of three signed permutations. The algorithm prunes to manageable size an extremely large search tree usi...
Adam C. Siepel, Bernard M. E. Moret
SODA
2008
ACM
150views Algorithms» more  SODA 2008»
15 years 8 months ago
Finding an optimal tree searching strategy in linear time
We address the extension of the binary search technique from sorted arrays and totally ordered sets to trees and tree-like partially ordered sets. As in the sorted array case, the...
Shay Mozes, Krzysztof Onak, Oren Weimann