4679 search results - page 609 / 936 » Modeling When Connections Are the Problem |
192
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DAGM
2006
Springer
15 years 10 months ago
2006
Springer
Abstract. We propose to tackle the optical flow problem by a combination of two recent advances in the computation of dense correspondences, namely the incorporation of image segme...
199
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AAAI
2010
15 years 8 months ago
2010
Matrix factorization is a fundamental technique in machine learning that is applicable to collaborative filtering, information retrieval and many other areas. In collaborative fil...
151
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NIPS
2007
15 years 8 months ago
2007
In this paper we investigate multi-task learning in the context of Gaussian Processes (GP). We propose a model that learns a shared covariance function on input-dependent features...
178
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ISCI
2008
15 years 6 months ago
2008
Spelling speech recognition can be applied for several purposes including enhancement of speech recognition systems and implementation of name retrieval systems. This paper presen...
210
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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...