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117
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TKDE
2008
115views more  TKDE 2008»
15 years 1 months ago
A Niching Memetic Algorithm for Simultaneous Clustering and Feature Selection
Clustering is inherently a difficult task and is made even more difficult when the selection of relevant features is also an issue. In this paper, we propose an approach for simult...
Weiguo Sheng, Xiaohui Liu, Michael C. Fairhurst
CP
2004
Springer
15 years 7 months ago
Heuristic Selection for Stochastic Search Optimization: Modeling Solution Quality by Extreme Value Theory
The success of stochastic algorithms is often due to their ability to effectively amplify the performance of search heuristics. This is certainly the case with stochastic sampling ...
Vincent A. Cicirello, Stephen F. Smith
ICN
2007
Springer
15 years 8 months ago
Proxy-Based Visual Content Repurposing Using Selection Algorithm
– This paper presents a proxy-based visual content repurposing approach, which is used to repurpose visual content dynamically for the transmission over heterogeneous networks an...
M. Shamim Hossain, Abdulmotaleb El-Saddik
128
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GECCO
2004
Springer
144views Optimization» more  GECCO 2004»
15 years 7 months ago
Feature Subset Selection, Class Separability, and Genetic Algorithms
Abstract. The performance of classification algorithms in machine learning is affected by the features used to describe the labeled examples presented to the inducers. Therefore,...
Erick Cantú-Paz
101
Voted
VMV
2001
119views Visualization» more  VMV 2001»
15 years 3 months ago
Improving Feature Tracking by Robust Points of interest Selection
This paper deals with robust point features selection for tracking. The aim is to identify unreliable features since the first frame so to track them in all the sequence. We exten...
Chafik Kermad, Christophe Collewet