1859 search results - page 177 / 372 » Using Problems to Learn Service-Oriented Computing |
182
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CVPR
2007
IEEE
16 years 21 days ago
2007
IEEE
Generative model learning is one of the key problems in machine learning and computer vision. Currently the use of generative models is limited due to the difficulty in effective...
192
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ESANN
2004
15 years 7 months ago
2004
This paper is based on a new way for determining the regularization trade-off in least squares support vector machines (LS-SVMs) via a mechanism of additive regularization which ha...
333
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FUIN
2011
14 years 9 months ago
2011
In this article, a novel concept is introduced by using both unsupervised and supervised learning. For unsupervised learning, the problem of fuzzy clustering in microarray data as ...
197
Voted
CVPR
2009
IEEE
17 years 1 months ago
2009
IEEE
Latent Variable Models (LVM), like the Shared-GPLVM
and the Spectral Latent Variable Model, help mitigate over-
fitting when learning discriminative methods from small or
modera...
171
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CVPR
2005
IEEE
16 years 8 months ago
2005
IEEE
In this work we propose a model for video scenes that contain temporal variability in shape and appearance. We propose a conditionally linear model akin to a dynamic extension of ...