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202
Voted
ICPR
2008
IEEE
16 years 8 months ago
2008
IEEE
In this paper we present a method for impulse noise removal that makes use of spectral clustering and graph regularization. The image is modeled as a graph and local spectral anal...
203
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ISDA
2009
IEEE
16 years 2 months ago
2009
IEEE
— In this contribution a feature selection method in semi-supervised problems is proposed. This method selects variables using a feature clustering strategy, using a combination ...
198
Voted
ISDA
2006
IEEE
16 years 1 months ago
2006
IEEE
The use of monolithic neural networks (such as a multilayer perceptron) has some drawbacks: e.g. slow learning, weight coupling, the black box effect. These can be alleviated by t...
148
Voted
GECCO
2010
Springer
15 years 11 months ago
2010
Springer
We investigate how a niching based evolutionary algorithm fares on the BBOB function test set, knowing that most problems are not very well suited to this algorithm class. However...
202
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APVIS
2010
15 years 9 months ago
2010
Information visualization is essential in making sense out of large data sets. Often, high-dimensional data are visualized as a collection of points in 2-dimensional space through...