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» Convergence of a Neural Network Classifier
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IJCNN
2006
IEEE
14 years 3 months ago
Reservoir-based techniques for speech recognition
— A solution for the slow convergence of most learning rules for Recurrent Neural Networks (RNN) has been proposed under the terms Liquid State Machines (LSM) and Echo State Netw...
David Verstraeten, Benjamin Schrauwen, Dirk Stroob...
NIPS
1996
13 years 10 months ago
Combining Neural Networks and Context-Driven Search for On-Line, Printed Handwriting Recognition in the Newton
While on-line handwriting recognition is an area of long-standing and ongoing research, the recent emergence of portable, pen-based computers has focused urgent attention on usabl...
Larry S. Yaeger, Brandyn J. Webb, Richard F. Lyon
ICMCS
2009
IEEE
146views Multimedia» more  ICMCS 2009»
13 years 7 months ago
Deep networks for audio event classification in soccer videos
In this work is presented a novel approach for the classification of audio concepts in broadcast soccer videos using deep belief network (DBN), a probabilistic neural network with...
Lamberto Ballan, Alessio Bazzica, Marco Bertini, A...
VTC
2006
IEEE
110views Communications» more  VTC 2006»
14 years 3 months ago
Recurrent Neural Network Based Narrowband Channel Prediction
Abstract—In this contribution, the application of fully connected recurrent neural networks (FCRNNs) is investigated in the context of narrowband channel prediction. Three differ...
Wei Liu, Lie-Liang Yang, Lajos Hanzo
TSMC
1998
135views more  TSMC 1998»
13 years 8 months ago
Universal stabilization using control Lyapunov functions, adaptive derivative feedback, and neural network approximators
— In this paper, the problem of stabilization of unknown nonlinear dynamical systems is considered. An adaptive feedback law is constructed that is based on the switching adaptiv...
Elias B. Kosmatopoulos