1521 search results - page 24 / 305 » A learning model for oscillatory networks |
120
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JMLR
2012
13 years 2 months ago
2012
Motivated by the observation that coarse and fine resolutions of an image reveal different structures in the underlying visual phenomenon, we present a model based on the Deep B...
NN
1997
Springer
15 years 4 months ago
1997
Springer
Bayesian networks are directed acyclic graphs that represent dependencies between variables in a probabilistic model. Many time series models, including the hidden Markov models (H...
106
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IJON
2008
14 years 11 months ago
2008
In this work we address the problem of boundary detection by combining ideas and approaches from biological and computational vision. Initially, we propose a simple and efficient ...
ECCV
2002
Springer
16 years 1 months ago
2002
Springer
Abstract. This paper considers the dynamic tree (DT) model, first introduced in [1]. A dynamic tree specifies a prior over structures of trees, each of which is a forest of one or ...
91
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IJCNN
2007
IEEE
15 years 6 months ago
2007
IEEE
— Many neural network models of (human) motor learning focus on the acquisition of direct goal-to-action mappings, which results in rather inflexible motor control programs. We ...