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» Feature selection with neural networks
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SIGIR
2003
ACM
15 years 11 months ago
Image classification using hybrid neural networks
Use of semantic content is one of the major issues which needs to be addressed for improving image retrieval effectiveness. We present a new approach to classify images based on t...
Chih-Fong Tsai, Kenneth McGarry, John Tait
ESANN
2004
15 years 7 months ago
Input arrival-time-dependent decoding scheme for a spiking neural network
Spiking neurons model a type of biological neural system where information is encoded with spike times. In this paper, a new method for decoding input spikes according to their abs...
Hesham H. Amin, Robert H. Fujii
IJCNN
2006
IEEE
16 years 10 days ago
Co-training using RBF Nets and Different Feature Splits
—In this paper we propose a new graph-based feature splitting algorithm maxInd, which creates a balanced split maximizing the independence between the two feature sets. We study ...
Felix Feger, Irena Koprinska
IJON
2006
91views more  IJON 2006»
15 years 6 months ago
Symmetry axis extraction by a neural network
This paper proposes a neural network model that extracts axes of symmetry from visual patterns. The input patterns can be line drawings, plane figures or gray-scaled natural image...
Kunihiko Fukushima, Masayuki Kikuchi
DAS
2004
Springer
15 years 11 months ago
A Neural Network Classifier for Junk E-Mail
Abstract. Most e-mail readers spend a non-trivial amount of time regularly deleting junk e-mail (spam) messages, even as an expanding volume of such e-mail occupies server storage ...
Ian Stuart, Sung-Hyuk Cha, Charles C. Tappert