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TNN
1998
254views more  TNN 1998»
15 years 2 months ago
Periodic symmetric functions, serial addition, and multiplication with neural networks
Abstract—This paper investigates threshold based neural networks for periodic symmetric Boolean functions and some related operations. It is shown that any n-input variable perio...
Sorin Cotofana, Stamatis Vassiliadis
ESANN
2003
15 years 4 months ago
Approximation of Function by Adaptively Growing Radial Basis Function Neural Networks
In this paper a neural network for approximating function is described. The activation functions of the hidden nodes are the Radial Basis Functions (RBF) whose parameters are learn...
Jianyu Li, Siwei Luo, Yingjian Qi
VIS
2005
IEEE
122views Visualization» more  VIS 2005»
16 years 4 months ago
Effectively Visualizing Large Networks Through Sampling
We study the problem of visualizing large networks and develop es for effectively abstracting a network and reducing the size to a level that can be clearly viewed. Our size reduc...
Davood Rafiei, Stephen Curial
INFOCOM
1997
IEEE
15 years 7 months ago
Addressing Network Survivability Issues by Finding the K-Best Paths through a Trellis Graph
Due to the increasing reliance of our society on the timely and reliable transfer of large quantities of information (suchas voice, data, and video)across high speed communication...
Stavros D. Nikolopoulos, Andreas Pitsillides, Davi...
WACV
2007
IEEE
15 years 9 months ago
Motion Estimation Using a General Purpose Neural Network Simulator for Visual Attention
Motion detection and estimation is a first step in the much larger framework of attending to visual motion based on Selective Tuning Model of Visual Attention [1]. In order to be ...
Florentin Dorian Vintila, John K. Tsotsos