1146 search results - page 72 / 230 » Modeling durations of syllables using neural networks |
149
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IJON
2006
15 years 6 months ago
2006
This paper proposes a neural network model that extracts axes of symmetry from visual patterns. The input patterns can be line drawings, plane figures or gray-scaled natural image...
186
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NN
2008
Springer
15 years 6 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...
169
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WAPCV
2004
Springer
15 years 11 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 ...
183
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ICANN
2009
Springer
15 years 11 months ago
2009
Springer
Recurrent neural networks serve as black-box models for nonlinear dynamical systems identification and time series prediction. Training of recurrent networks typically minimizes t...
206
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CSL
2007
Springer
15 years 6 months ago
2007
Springer
This paper describes the use of dynamic Bayesian networks for the task of articulatory feature recognition. We show that by modeling the dependencies between a set of 6 multi-leve...