2934 search results - page 183 / 587 » Hypothesis Spaces for Learning |
163
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ICML
2006
IEEE
16 years 7 months ago
2006
IEEE
The Gaussian process latent variable model (GP-LVM) is a generative approach to nonlinear low dimensional embedding, that provides a smooth probabilistic mapping from latent to da...
170
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ACCV
2010
Springer
15 years 1 months ago
2010
Springer
This work employs data mining algorithms to discover visual entities that are strongly associated to autonomously discovered modes of action, in an embodied agent. Mappings are lea...
188
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MICCAI
2004
Springer
16 years 7 months ago
2004
Springer
We present a novel framework for learning a joint shape and appearance model from a large set of un-labelled training examples in arbitrary positions and orientations. The shape an...
172
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ICDM
2003
IEEE
15 years 11 months ago
2003
IEEE
A major obstacle to fully integrated deployment of many data mining algorithms is the assumption that data sits in a single table, even though most real-world databases have compl...
141
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PAMI
2008
15 years 6 months ago
2008
In this paper, we develop a new effective multiple kernel learning algorithm. First, we map the input data into m different feature spaces by m empirical kernels, where each genera...