99 search results - page 12 / 20 » Learning Taxonomies by Dependence Maximization |
109
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IJCAI
2001
15 years 1 months ago
2001
Most formulations of Reinforcement Learning depend on a single reinforcement reward value to guide the search for the optimal policy solution. If observation of this reward is rar...
111
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ICONIP
2010
14 years 11 months ago
2010
Memory is often considered to be embedded into one of the attractors in neural dynamical systems, which provides an appropriate output depending on the initial state specified by ...
132
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KDD
2007
ACM
16 years 23 days ago
2007
ACM
A good distance metric is crucial for many data mining tasks. To learn a metric in the unsupervised setting, most metric learning algorithms project observed data to a lowdimensio...
132
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CVPR
2011
IEEE
14 years 7 months ago
2011
IEEE
We propose structured models for image labeling that take into account the dependencies among the image labels explicitly. These models are more expressive than independent label ...
ICIP
2006
IEEE
16 years 2 months ago
2006
IEEE
We propose a novel unsupervised learning algorithm to extract the layout of an image by learning latent object-related aspects. Unlike traditional image segmentation algorithms th...