9886 search results - page 232 / 1978 » Learning Compressible Models |
108
Voted
ICASSP
2011
IEEE
14 years 7 months ago
2011
IEEE
A new Bayesian model is proposed, integrating dictionary learning and topic modeling into a unified framework. The model is applied to cluster multiple images, and a subset of th...
109
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ALT
2002
Springer
16 years 27 days ago
2002
Springer
Abstract. The explosion of data stored in commercial or administrational databases calls for intelligent techniques to discover the patterns hidden in them and thus to exploit all ...
149
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ICIC
2007
Springer
15 years 10 months ago
2007
Springer
We suggest to apply the hybrid neural network based on multi layer perceptron (MLP) and adaptive resonance theory (ART-2) for solving of navigation task of mobile robots. This appr...
121
Voted
SEMWEB
2001
Springer
15 years 8 months ago
2001
Springer
Building repositories for e-learning is an iterative process and course content and course structure are always changing. We realized the necessity to separate content from structu...
133
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NIPS
1997
15 years 5 months ago
1997
Up-propagation is an algorithm for inverting and learning neural network generative models. Sensory input is processed by inverting a model that generates patterns from hidden var...