74 search results - page 2 / 15 » Feature Selection Using Multi-Objective Genetic Algorithms f... |
146
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SSPR
2004
Springer
15 years 7 months ago
2004
Springer
This paper presents an optimized Hill Climbing algorithm to select a subset of features for handwritten character recognition. The search is conducted taking into account a random ...
108
Voted
ICDAR
2009
IEEE
15 years 9 months ago
2009
IEEE
This paper presents a generic features selection method and its applications on some document analysis problems. The method is based on a genetic algorithm (GA), whose tness funct...
119
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ICDAR
2007
IEEE
15 years 8 months ago
2007
IEEE
In this paper, we propose a multi-objective optimization method for SVM model selection using the well known NSGA-II algorithm. FA and FR rates are the two criteria used to find ...
146
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ICDAR
2003
IEEE
15 years 7 months ago
2003
IEEE
Classifying an unknown input is a fundamental problem in pattern recognition. A common method is to define a distance metric between patterns and find the most similar pattern i...
122
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IJDAR
2006
15 years 2 months ago
2006
This paper presents a genetic programming based approach for optimizing the feature extraction step of a handwritten character recognizer. This recognizer uses a simple multilayer ...