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» A theoretical framework for multiple neural network systems
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RECOMB
2005
Springer
14 years 9 months ago
Decomposition of Overlapping Protein Complexes: A Graph Theoretical Method for Analyzing Static and Dynamic Protein Associations
Background: Most cellular processes are carried out by multi-protein complexes, groups of proteins that bind together to perform a specific task. Some proteins form stable complex...
Elena Zotenko, Katia S. Guimarães, Raja Jot...
NN
2007
Springer
13 years 8 months ago
Awaking and sleeping of a complex network
A network with a logistic-like local dynamics is considered. We implement a mean-field multiplicative coupling among first-neighbor nodes. When the coupling parameter is small, ...
R. López-Ruiz, Y. Moreno, A. F. Pacheco, S....
IJCNN
2007
IEEE
14 years 3 months ago
Symmetric Kernel Detector for Multiple-Antenna Aided Beamforming Systems
— We propose a powerful symmetric kernel classifier for nonlinear detection in challenging rank-deficient multipleantenna aided communication systems. By exploiting the inheren...
Sheng Chen, Andreas Wolfgang, Chris J. Harris, Laj...
KES
2008
Springer
13 years 8 months ago
Epileptic Seizure Classification Using Neural Networks with 14 Features
Epilepsy is one of the most frequent neurological disorders. The main method used in epilepsy diagnosis is electroencephalogram (EEG) signal analysis. However this method requires ...
Rui P. Costa, Pedro Oliveira, Guilherme Rodrigues,...
ICASSP
2011
IEEE
13 years 17 days ago
A multi-stream ASR framework for BLSTM modeling of conversational speech
We propose a novel multi-stream framework for continuous conversational speech recognition which employs bidirectional Long Short-Term Memory (BLSTM) networks for phoneme predicti...
Martin Wöllmer, Florian Eyben, Björn Sch...