124 search results - page 15 / 25 » Recurrent and Concurrent Neural Networks for Objects Recogni... |
BVAI
2005
Springer
14 years 1 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
13 years 8 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...
ICASSP
2011
IEEE
12 years 11 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
14 years 9 months 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...
EURASIP
1990
14 years 6 hour 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...