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97
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ICPR
2008
IEEE
16 years 3 months ago
The implication of data diversity for a classifier-free ensemble selection in random subspaces
Ensemble of Classifiers (EoC) has been shown effective in improving the performance of single classifiers by combining their outputs. By using diverse data subsets to train classi...
Albert Hung-Ren Ko, Robert Sabourin, Luiz E. Soare...
123
Voted
MLDM
2005
Springer
15 years 8 months ago
Linear Manifold Clustering
In this paper we describe a new cluster model which is based on the concept of linear manifolds. The method identifies subsets of the data which are embedded in arbitrary oriented...
Robert M. Haralick, Rave Harpaz
105
Voted
PACT
1997
Springer
15 years 6 months ago
Parallel and Distributed Evolutionary Computation with MANIFOLD
Abstract. In this paper, we apply a competitive coevolutionary approach using loosely coupled genetic algorithms to a distributed optimization of the Rosenbrock's function. Th...
Franciszek Seredynski, Pascal Bouvry, Farhad Arbab
111
Voted
DAC
2000
ACM
16 years 3 months ago
Fingerprinting intellectual property using constraint-addition
Recently, intellectual property protection (IPP) techniques attracted a great deal of attention from semiconductor, system integration and software companies. A number of watermar...
Gang Qu, Miodrag Potkonjak
116
Voted
DC
2010
15 years 2 months ago
Refined quorum systems
It is considered good distributed computing practice to devise object implementations that tolerate contention, periods of asynchrony and a large number of failures, but perform f...
Rachid Guerraoui, Marko Vukolic