2934 search results - page 198 / 587 » Hypothesis Spaces for Learning |
164
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ESANN
2007
15 years 8 months ago
2007
Abstract. Discovering the topology of a set of labeled data in a Euclidian space can help to design better decision systems. In this work, we propose a supervised generative model ...
239
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CRV
2011
IEEE
14 years 6 months ago
2011
IEEE
—Motion information is an important cue for a robot to separate foreground moving objects from the static background world. Based on the observation that the motion of the backgr...
159
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NIPS
2008
15 years 8 months ago
2008
Many machine learning algorithms can be formulated in the framework of statistical independence such as the Hilbert Schmidt Independence Criterion. In this paper, we extend this c...
204
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ICAPR
2009
Springer
15 years 4 months ago
2009
Springer
We present a novel predictive statistical framework to improve the performance of an Eigen Tracker which uses fast and efficient eigen space updates to learn new views of the obje...
159
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CVPR
2010
IEEE
15 years 11 months ago
2010
IEEE
We consider the problem of learning to map between two vector spaces given pairs of matching vectors, one from each space. This problem naturally arises in numerous vision problem...