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» Challenging Applications on Fast Networks
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IJON
2002
219views more  IJON 2002»
13 years 7 months ago
NEURObjects: an object-oriented library for neural network development
NEURObjects is a set of C++ library classes for neural network development, exploiting the potentialities of object-oriented design and programming. The main goal of the library c...
Giorgio Valentini, Francesco Masulli
ISM
2006
IEEE
174views Multimedia» more  ISM 2006»
14 years 1 months ago
Fast Similarity Search for High-Dimensional Dataset
This paper addresses the challenging problem of rapidly searching and matching high-dimensional features for the applications of multimedia database retrieval and pattern recognit...
Quan Wang, Suya You
CCGRID
2005
IEEE
14 years 1 months ago
A high performance configurable transport protocol for grid computing
− Grid computing infrastructures and applications are increasingly diverse, with networks ranging from very high bandwidth optical networks to wireless networks and applications ...
Xinran (Ryan) Wu, Andrew A. Chien, Matti A. Hiltun...
BROADNETS
2007
IEEE
14 years 2 months ago
IP fast rerouting for single-link/node failure recovery
—Failure recovery in IP networks is critical to high quality service provisioning. The main challenge is how to achieve fast recovery without introducing high complexity and reso...
Kang Xi, H. Jonathan Chao
IJON
2000
76views more  IJON 2000»
13 years 7 months ago
Fast neural network simulations with population density methods
The complexity of neural networks of the brain makes studying these networks through computer simulation challenging. Conventional methods, where one models thousands of individua...
Duane Q. Nykamp, Daniel Tranchina