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IJCNN
2007
IEEE
15 years 9 months ago
TRUST-TECH Based Neural Network Training
— Efficient Training in a neural network plays a vital role in deciding the network architecture and the accuracy of these classifiers. Most popular local training algorithms t...
Hsiao-Dong Chiang, Chandan K. Reddy
106
Voted
ICPR
2008
IEEE
16 years 4 months ago
Incremental classification of invoice documents
This paper deals with incremental classification and its particular application to invoice classification. An improved version of an already existant incremental neural network ca...
Hatem Hamza, Yolande Belaïd, Abdel Belaï...
122
Voted
ESANN
2004
15 years 4 months ago
Reducing connectivity by using cortical modular bands
The way information is represented and processed in a neural network may have important consequences on its computational power and complexity. Basically, information representatio...
Julien Vitay, Nicolas P. Rougier, Fréd&eacu...
107
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ISMB
1994
15 years 4 months ago
Neural Networks for Determining Protein Specificity and Multiple Alignment of Binding Sites
Weuse a quantitative definition of specificity to developa neural networkfor the identification of commonprotein binding sites in a collection of unaligned DNAfragments. Wedemonst...
John M. Heumann, Alan S. Lapedes, Gary D. Stormo
ICCV
1999
IEEE
16 years 4 months ago
Neurocalibration: A Neural Network That Can Tell Camera Calibration Parameters
Camera calibration is a primary crucial step in many computer vision tasks. In this paper we present a new neural approach for camera calibration. Unlike some existing neural appr...
Moumen T. Ahmed, Elsayed E. Hemayed, Aly A. Farag