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» Feature selection with neural networks
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ICDAR
2009
IEEE
14 years 4 months ago
Text Detection and Localization in Complex Scene Images using Constrained AdaBoost Algorithm
We have proposed a complete system for text detection and localization in gray scale scene images. A boosting framework integrating feature and weak classifier selection based on...
Shehzad Muhammad Hanif, Lionel Prevost
ICONIP
1998
13 years 11 months ago
A Web Oriented Recurrent Neural Network Simulator
YANNS (Yet Another Neural Network Simulator) is a new object-oriented neural network simulator for feedforward networks as well as general recurrent networks. The goal of this pro...
Romuald Boné, Michel Crucianu, Pascal Makri...
CEC
2008
IEEE
14 years 4 months ago
Learning what to ignore: Memetic climbing in topology and weight space
— We present the memetic climber, a simple search algorithm that learns topology and weights of neural networks on different time scales. When applied to the problem of learning ...
Julian Togelius, Faustino J. Gomez, Jürgen Sc...
IJON
2006
132views more  IJON 2006»
13 years 10 months ago
A binary neural decision table classifier
In this paper, we introduce a neural network -based decision table algorithm. We focus on the implementation details of the decision table algorithm when it is constructed using t...
Victoria J. Hodge, Simon O'Keefe, Jim Austin
AAAI
2004
13 years 11 months ago
Bayesian Network Classifiers Versus k-NN Classifier Using Sequential Feature Selection
The aim of this paper is to compare Bayesian network classifiers to the k-NN classifier based on a subset of features. This subset is established by means of sequential feature se...
Franz Pernkopf