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MICCAI
2002
Springer
14 years 10 months ago
Comparative Exudate Classification Using Support Vector Machines and Neural Networks
After segmenting candidate exudates regions in colour retinal images we present and compare two methods for their classification. The Neural Network based approach performs margina...
Alireza Osareh, Majid Mirmehdi, Barry T. Thomas, R...
DL
1999
Springer
154views Digital Library» more  DL 1999»
14 years 1 months ago
SOMLib: A Digital Library System Based on Neural Networks
Digital Libraries have gained tremendous interest with numerous research projects addressing the wealth of challenges in this field. While computational intelligence systems are ...
Andreas Rauber, Dieter Merkl
ESANN
2003
13 years 11 months ago
Neural networks organizations to learn complex robotic functions
Abstract. This paper considers the general problem of function estimation with a modular approach of neural computing. We propose to use functionally independent subnetworks to lea...
Gilles Hermann, Patrice Wira, Jean-Philippe Urban
KAIS
2006
229views more  KAIS 2006»
13 years 9 months ago
Call classification using recurrent neural networks, support vector machines and finite state automata
Our objective is spoken language classification for helpdesk call routing using a scanning understanding and intelligent system techniques. In particular, we examine simple recurre...
Sheila Garfield, Stefan Wermter
IJCNN
2007
IEEE
14 years 4 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