2033 search results - page 143 / 407 » Ranking on Data Manifolds |
157
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NIPS
2004
15 years 8 months ago
2004
We consider the semi-supervised learning problem, where a decision rule is to be learned from labeled and unlabeled data. In this framework, we motivate minimum entropy regulariza...
170
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CVPR
2010
IEEE
16 years 3 months ago
2010
IEEE
Most existing video denoising algorithms assume a single statistical model of image noise, e.g. additive Gaussian white noise, which often is violated in practice. In this paper, ...
161
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CORR
2008
Springer
15 years 6 months ago
2008
Springer
Nonnegative matrix factorization (NMF) was popularized as a tool for data mining by Lee and Seung in 1999. NMF attempts to approximate a matrix with nonnegative entries by a produ...
189
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TSP
2008
15 years 6 months ago
2008
Abstract--Low-rank matrix approximation has applications in many fields, such as 2D filter design and 3D reconstruction from an image sequence. In this paper, one issue with low-ra...
211
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PODS
2012
ACM
13 years 9 months ago
2012
ACM
We show that randomization can lead to significant improvements for a few fundamental problems in distributed tracking. Our basis is the count-tracking problem, where there are k...