74 search results - page 2 / 15 » Feature Selection Using Multi-Objective Genetic Algorithms f... |
SSPR
2004
Springer
13 years 10 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 ...
ICDAR
2009
IEEE
13 years 11 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...
ICDAR
2007
IEEE
13 years 11 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 ...
ICDAR
2003
IEEE
13 years 10 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...
IJDAR
2006
13 years 4 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 ...