432 search results - page 15 / 87 » Neighborhood Preserving Embedding |
135
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IJON
2010
15 years 1 months ago
2010
Graph construction plays a key role on learning algorithms based on graph Laplacian. However, the traditional graph construction approaches of -neighborhood and k-nearest-neighbor...
107
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ICANN
2009
Springer
15 years 10 months ago
2009
Springer
Simbed, standing for similarity-based embedding, is a new method of embedding high-dimensional data. It relies on the preservation of pairwise similarities rather than distances. I...
120
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NIPS
2007
15 years 5 months ago
2007
This paper introduces kernels on attributed pointsets, which are sets of vectors embedded in an euclidean space. The embedding gives the notion of neighborhood, which is used to d...
103
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IH
2004
Springer
15 years 9 months ago
2004
Springer
We introduce a steganalytic method which takes advantage of statistics that were preserved to prevent the chi-square attack. We show that preserving statistics by skipping certain ...
155
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CVPR
2008
IEEE
16 years 6 months ago
2008
IEEE
Human action video sequences can be considered as nonlinear dynamic shape manifolds in the space of image frames. In this paper, we address learning and classifying human actions ...