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TEC
2008
146views more  TEC 2008»
15 years 2 months ago
An Evolutionary Algorithm Approach to Optimal Ensemble Classifiers for DNA Microarray Data Analysis
In general, the analysis of microarray data requires two steps: feature selection and classification. From a variety of feature selection methods and classifiers, it is difficult t...
Kyung-Joong Kim, Sung-Bae Cho
126
Voted
ICPR
2002
IEEE
16 years 3 months ago
Improving Texture Pattern Recognition by Integration of Multiple Texture Feature Extraction Methods
This paper proposes a pixel-based texture classifier that integrates multiple texture feature extraction methods in order to identify the regions of an input image that belong to ...
Miguel Angel García, Domènec Puig
88
Voted
ICPR
2004
IEEE
16 years 3 months ago
Detecting Abnormal Regions in Colonoscopic Images by Patch-based Classifier Ensemble
In this paper, a new method is proposed to detect abnormal regions in colonoscopic images by patch-based classifier ensemble. Through supervised learning from image patches of var...
Kap Luk Chan, Peng Li, Shankar Muthu Krishnan, Yan...
142
Voted
CEC
2010
IEEE
15 years 3 months ago
An adaptive ensemble of fuzzy ARTMAP neural networks for video-based face classification
A key feature in population based optimization algorithms is the ability to explore a search space and make a decision based on multiple solutions. In this paper, an incremental le...
Jean-François Connolly, Eric Granger, Rober...
ICANNGA
2007
Springer
129views Algorithms» more  ICANNGA 2007»
15 years 6 months ago
Multi-class Support Vector Machines Based on Arranged Decision Graphs and Particle Swarm Optimization for Model Selection
Abstract. The use of support vector machines for multi-category problems is still an open field to research. Most of the published works use the one-against-rest strategy, but with...
Javier Acevedo, Saturnino Maldonado-Bascón,...