4629 search results - page 24 / 926 » Space Kernel Analysis |
103
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NPL
2006
14 years 11 months ago
2006
This paper presents a novel dimension reduction algorithm for kernel based classification. In the feature space, the proposed algorithm maximizes the ratio of the squared between-c...
NIPS
2003
15 years 1 months ago
2003
We derive the limiting form of the eigenvalue spectrum for sample covariance matrices produced from non-isotropic data. For the analysis of standard PCA we study the case where th...
144
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TKDE
2012
13 years 2 months ago
2012
—Traditional clustering techniques are inapplicable to problems where the relationships between data points evolve over time. Not only is it important for the clustering algorith...
ICML
2004
IEEE
16 years 19 days ago
2004
IEEE
A standard method for approximating averages in probabilistic models is to construct a Markov chain in the product space of the random variables with the desired equilibrium distr...
ACSAC
2004
IEEE
15 years 3 months ago
2004
IEEE
In current extensible monolithic operating systems, loadable kernel modules (LKM) have unrestricted access to all portions of kernel memory and I/O space. As a result, kernel-modu...