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IPPS
1997
IEEE
15 years 1 months ago
Control Schemes in a Generalized Utility for Parallel Branch-and-Bound Algorithms
Branch-and-bound algorithms are general methods applicable to various combinatorial optimization problems and parallelization is one of the most hopeful methods to improve these a...
Yuji Shinano, Kenichi Harada, Ryuichi Hirabayashi
IPPS
1999
IEEE
15 years 1 months ago
Parallel Out-of-Core Divide-and-Conquer Techniques with Application to Classification Trees
Classification is an important problem in the field of data mining. Construction of good classifiers is computationally intensive and offers plenty of scope for parallelization. D...
Mahesh K. Sreenivas, Khaled Alsabti, Sanjay Ranka
MICCAI
2007
Springer
15 years 10 months ago
Combinatorial Optimization for Electrode Labeling of EEG Caps
Abstract. An important issue in electroencephalographiy (EEG) experiments is to measure accurately the three dimensional (3D) positions of the electrodes. We propose a system where...
Jean-Michel Badier, Mickaël Péchaud, R...
PVM
2005
Springer
15 years 3 months ago
Some Improvements to a Parallel Decomposition Technique for Training Support Vector Machines
We consider a parallel decomposition technique for solving the large quadratic programs arising in training the learning methodology Support Vector Machine. At each iteration of th...
Thomas Serafini, Luca Zanni, Gaetano Zanghirati
71
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SPAA
1992
ACM
15 years 1 months ago
Separator Based Parallel Divide and Conquer in Computational Geometry
An O(log n) time, n processor randomized algorithm for computing the k-nearest neighbor graph of n points in d dimensions, for fixed d and k is presented. The method is based on t...
Alan M. Frieze, Gary L. Miller, Shang-Hua Teng