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» Are Hopfield Networks Faster than Conventional Computers
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NECO
2007
115views more  NECO 2007»
15 years 5 months ago
Training Recurrent Networks by Evolino
In recent years, gradient-based LSTM recurrent neural networks (RNNs) solved many previously RNN-unlearnable tasks. Sometimes, however, gradient information is of little use for t...
Jürgen Schmidhuber, Daan Wierstra, Matteo Gag...
VTC
2010
IEEE
138views Communications» more  VTC 2010»
15 years 4 months ago
Resource Allocation Scheme for Minimizing Uplink Interference in Hierarchical Cellular Networks
—Hierarchical cellular networks (HCNs), in which femtocells are deployed in the coverage of a conventional macrocell, offer a cost effective solution to achieve high user capacit...
Sung-Yeop Pyun, Dong-Ho Cho
PODC
2009
ACM
16 years 6 months ago
Fast distributed random walks
Performing random walks in networks is a fundamental primitive that has found applications in many areas of computer science, including distributed computing. In this paper, we fo...
Atish Das Sarma, Danupon Nanongkai, Gopal Panduran...
VIS
2005
IEEE
110views Visualization» more  VIS 2005»
16 years 7 months ago
Prefiltered Gaussian Reconstruction for High-Quality Rendering of Volumetric Data sampled on a Body-Centered Cubic Grid
In this paper a novel high-quality reconstruction scheme is presented. Although our method is mainly proposed to reconstruct volumetric data sampled on an optimal Body-Centered Cu...
Balázs Csébfalvi
EENERGY
2010
15 years 10 months ago
Mobile networks unplugged
Mobile network access has seemingly become ubiquitous in industrialized countries. With data services becoming sufficiently fast, usable, and affordable, demand is growing rapidly...
Jukka Manner, Marko Luoma, Jörg Ott, Jyri H&a...