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» On Combining Classifiers
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ICMCS
2006
IEEE
198views Multimedia» more  ICMCS 2006»
14 years 2 months ago
Face Segmentation under Unconstrained Scenes
In this paper, an efficient approach by combining the novel wavelet-based feature template, the support vector machine (SVM) classifier, and the wavelet entropy filtering is prese...
Jing-Wein Wang
GECCO
2006
Springer
180views Optimization» more  GECCO 2006»
14 years 16 days ago
Improving cooperative GP ensemble with clustering and pruning for pattern classification
A boosting algorithm based on cellular genetic programming to build an ensemble of predictors is proposed. The method evolves a population of trees for a fixed number of rounds an...
Gianluigi Folino, Clara Pizzuti, Giandomenico Spez...
ACIVS
2008
Springer
14 years 3 months ago
Fuzzy Rule Iterative Feature Selection (FRIFS) with Respect to the Choquet Integral Apply to Fabric Defect Recognition
An iterative method to select suitable features in an industrial fabric defect recognition context is proposed in this paper. It combines a global feature selection method based on...
Emmanuel Schmitt, Vincent Bombardier, Laurent Wend...
IWPC
2003
IEEE
14 years 2 months ago
Automatic Design Pattern Detection
We detect design patterns in legacy code combining static and dynamic analyses. The analyses do not depend on coding or naming conventions. We classify potential pattern instances...
Dirk Heuzeroth, Thomas Holl, Gustav Högstr&ou...
IPM
2006
130views more  IPM 2006»
13 years 8 months ago
Exploiting structural information for semi-structured document categorization
This paper examines several different approaches to exploiting structural information in semi-structured document categorization. The methods under consideration are designed for ...
Andrej Bratko, Bogdan Filipic