124 search results - page 15 / 25 » Recurrent and Concurrent Neural Networks for Objects Recogni... |
104
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BVAI
2005
Springer
15 years 5 months ago
2005
Springer
A visual system not only needs to recognize a stimulus, it also needs to find the location of the stimulus. In this paper, we present a neural network model that is able to genera...
NN
2008
Springer
14 years 11 months ago
2008
Springer
Learning data representations is a fundamental challenge in modeling neural processes and plays an important role in applications such as object recognition. In multi-stage Optima...
85
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ICASSP
2011
IEEE
14 years 3 months ago
2011
IEEE
Features generated by Non-Negative Matrix Factorization (NMF) have successfully been introduced into robust speech processing, including noise-robust speech recognition and detect...
ICPR
2002
IEEE
16 years 22 days ago
2002
IEEE
This paper discusses the use of genetic algorithm for feature selection for handwriting recognition. Its novelty lies in the use of a multi-objective genetic algorithms where sens...
102
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EURASIP
1990
15 years 3 months ago
1990
Inversionof multilayersynchronous networks is a method which tries to answer questions like What kind of input will give a desired output?" or Is it possible to get a desired...