2865 search results - page 177 / 573 » Learning Models for Object Recognition |
142
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ECAI
2008
Springer
15 years 3 months ago
2008
Springer
Abstract. The paper presents an implemented model for priming speech recognition, using contextual information about salient entities. The underlying hypothesis is that, in human-r...
ICTAI
1994
IEEE
15 years 6 months ago
1994
IEEE
An object-oriented neural network simulator kernel is presented. It is based on a general mathematical model for arbitrary feedforward nets. We propose a C++ implementation of thi...
120
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WAPCV
2004
Springer
15 years 7 months ago
2004
Springer
Abstract. Selective attention shift can help neural networks learn invariance. We describe a method that can produce a network with invariance to changes in visual input caused by ...
134
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ICASSP
2011
IEEE
14 years 5 months ago
2011
IEEE
Modern approaches to speaker recognition (verification) operate in a space of “supervectors” created via concatenation of the mean vectors of a Gaussian mixture model (GMM) a...
140
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CVPR
2012
IEEE
13 years 4 months ago
2012
IEEE
While Boltzmann Machines have been successful at unsupervised learning and density modeling of images and speech data, they can be very sensitive to noise in the data. In this pap...