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» A Mean-Variance Optimization algorithm
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FOCS
2006
IEEE
16 years 23 days ago
Fast Algorithms for Logconcave Functions: Sampling, Rounding, Integration and Optimization
We prove that the hit-and-run random walk is rapidly mixing for an arbitrary logconcave distribution starting from any point in the support. This extends the work of [26], where t...
László Lovász, Santosh Vempal...
SSPR
2004
Springer
16 years 1 days ago
Feature Subset Selection Using an Optimized Hill Climbing Algorithm for Handwritten Character Recognition
This paper presents an optimized Hill Climbing algorithm to select a subset of features for handwritten character recognition. The search is conducted taking into account a random ...
Carlos M. Nunes, Alceu de Souza Britto Jr., Celso ...
PR
1998
86views more  PR 1998»
15 years 6 months ago
Optimizing the cost matrix for approximate string matching using genetic algorithms
This paper describes a method for optimizing the cost matrix of any approximate string matching algorithm based on the Levenshtein distance. The method, which uses genetic algorit...
Marc Parizeau, Nadia Ghazzali, Jean-Françoi...
PDCN
2004
15 years 8 months ago
Scalable parallel algorithms for difficult combinatorial problems: A case study in optimization
A novel combination of emergent algorithmic methods, powerful computational platforms and supporting infrastructure is described. These complementary tools and technologies are us...
Faisal N. Abu-Khzam, Michael A. Langston, Pushkar ...
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ICPADS
2007
IEEE
16 years 1 months ago
Optimizing Katsevich image reconstruction algorithm on multicore processors
The Katsevich image reconstruction algorithm is the first theoretically exact cone beam image reconstruction algorithm for a helical scanning path in computed tomography (CT). Ho...
Eric Fontaine, Hsien-Hsin S. Lee