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» Neural Network with Matrix Inputs
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113
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TON
2010
97views more  TON 2010»
14 years 9 months ago
Gradually reconfiguring virtual network topologies based on estimated traffic matrices
Traffic matrix, which is required as an input of traffic engineering (TE) methods, is difficult to be obtained directly. One possible approach to obtaining the traffic matrix is to...
Yuichi Ohsita, Takashi Miyamura, Shin'ichi Arakawa...
142
Voted
KES
2006
Springer
15 years 2 months ago
Spiking Neural Network Based Classification of Task-Evoked EEG Signals
This paper presents an improved technique to detect evoked potentials in continuous EEG recordings using a spiking neural network. Human EEG signals recorded during spell checking,...
Piyush Goel, Honghai Liu, David J. Brown, Avijit D...
167
Voted
IJCNN
2007
IEEE
15 years 9 months ago
Using Artificial Neural Networks and Feature Saliency Techniques for Improved Iris Segmentation
—One of the basic challenges to robust iris recognition is iris segmentation. This paper proposes the use of a feature saliency algorithm and an artificial neural network to perf...
Randy P. Broussard, Lauren R. Kennell, David L. So...
126
Voted
GECCO
2007
Springer
182views Optimization» more  GECCO 2007»
15 years 9 months ago
Generating large-scale neural networks through discovering geometric regularities
Connectivity patterns in biological brains exhibit many repeating motifs. This repetition mirrors inherent geometric regularities in the physical world. For example, stimuli that ...
Jason Gauci, Kenneth O. Stanley
121
Voted
AAAI
1994
15 years 4 months ago
Parsing Embedded Clauses with Distributed Neural Networks
A distributed neural network model called SPEC for processing sentences with recursive relative clauses is described. The model is based on separating the tasks of segmenting the ...
Risto Miikkulainen, Dennis Bijwaard