166 search results - page 27 / 34 » Learning a kernel matrix for nonlinear dimensionality reduct... |
95
Voted
ICML
2009
IEEE
16 years 12 days ago
2009
IEEE
We present a unified framework for learning link prediction and edge weight prediction functions in large networks, based on the transformation of a graph's algebraic spectru...
102
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ICPR
2008
IEEE
15 years 6 months ago
2008
IEEE
This paper proposes a novel algorithm for categorization of action video sequences using unsupervised dual clustering. Given a video database, we extract motion information of act...
119
Voted
CIRA
2007
IEEE
15 years 6 months ago
2007
IEEE
Abstract—In classical image classification approaches, lowlevel features have been used. But the high dimensionality of feature spaces poses a challenge in terms of feature selec...
ICPR
2010
IEEE
14 years 9 months ago
2010
IEEE
In this paper, an easily implemented semi-supervised graph learning method is presented for dimensionality reduction and clustering, using the most of prior knowledge from limited...
121
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Publication
This paper studies the effect of covariance regularization for classific ation of high-dimensional data. This is done by fitting a mixture of Gaussians with a regularized covaria...