1106 search results - page 73 / 222 » On regularization algorithms in learning theory |
188
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ECCV
2010
Springer
15 years 10 months ago
2010
Springer
Many learning tasks for computer vision problems can be described by multiple views or multiple features. These views can be exploited in order to learn from unlabeled data, a.k.a....
146
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TRS
2008
15 years 4 months ago
2008
An implicit assumption of many machine learning algorithms is that all attributes are of the same importance. An algorithm typically selects attributes based solely on their statis...
173
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ICASSP
2010
IEEE
15 years 5 months ago
2010
IEEE
Sparse representation theory has been increasingly used in the fields of signal processing and machine learning. The standard sparse models are not invariant to spatial transform...
128
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AAAI
2004
15 years 6 months ago
2004
In this paper we report some of the research endeavors we are embarking on as part of the Doctoral research of the first author. We have already completed an investigation of some...
145
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ALT
2007
Springer
15 years 11 months ago
2007
Springer
In transfer learning the aim is to solve new learning tasks using fewer examples by using information gained from solving related tasks. Existing transfer learning methods have be...