166 search results - page 27 / 34 » Learning a kernel matrix for nonlinear dimensionality reduct... |
ICML
2009
IEEE
14 years 8 months 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...
ICPR
2008
IEEE
14 years 1 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...
CIRA
2007
IEEE
14 years 1 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
13 years 5 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...
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...