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PRL
1998

A connectionist method for pattern classification with diverse features

13 years 6 months ago
A connectionist method for pattern classification with diverse features
A novel connectionist method is proposed to simultaneously use diverse features in an optimal way for pattern classification. Unlike methods of combining multiple classifiers, a modular neural network architecture is proposed through use of soft competition among diverse features. Parameter estimation in the proposed architecture is treated as a maximum Ž .likelihood problem, and an Expectation-Maximization EM learning algorithm is developed for adjusting the parameters of the architecture. Comparative simulation results are presented for the real world problem of speaker identification. q 1998 Elsevier Science B.V. All rights reserved.
Ke Chen 0001
Added 23 Dec 2010
Updated 23 Dec 2010
Type Journal
Year 1998
Where PRL
Authors Ke Chen 0001
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