1746 search results - page 256 / 350 » Hierarchical Unsupervised Learning |
132
Voted
JMLR
2007
15 years 3 months ago
2007
We introduce standardised building blocks designed to be used with variational Bayesian learning. The blocks include Gaussian variables, summation, multiplication, nonlinearity, a...
139
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AGI
2011
14 years 7 months ago
2011
We present an architectural approach to learning problem solving skills from demonstration, using internal models to represent problem-solving operational knowledge. Internal forwa...
141
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AGI
2011
14 years 7 months ago
2011
A novel approach to computer vision is outlined, involving the use of imprecise probabilities to connect a deep learning based hierarchical vision system with both local feature de...
124
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CVPR
2001
IEEE
16 years 5 months ago
2001
IEEE
Bayesian approaches to supervised learning use priors on the classifier parameters. However, few priors aim at achieving "sparse" classifiers, where irrelevant/redundant...
152
Voted
ICCV
2007
IEEE
16 years 5 months ago
2007
IEEE
We develop nonparametric Bayesian models for multiscale representations of images depicting natural scene categories. Individual features or wavelet coefficients are marginally de...