93 search results - page 13 / 19 » Greedy Kernel Principal Component Analysis |
JMLR
2006
13 years 9 months ago
2006
The eigenvalues of the kernel matrix play an important role in a number of kernel methods, in particular, in kernel principal component analysis. It is well known that the eigenva...
CVPR
2006
IEEE
14 years 12 months ago
2006
IEEE
Segmentation involves separating an object from the background. In this work, we propose a novel segmentation method combining image information with prior shape knowledge, within...
NPL
2006
13 years 9 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...
BCS
2008
13 years 11 months ago
2008
In this work, a new algorithm is proposed for fast estimation of nonparametric multivariate kernel density, based on principal direction divisive partitioning (PDDP) of the data s...
INFOCOM
2007
IEEE
14 years 4 months ago
2007
IEEE
— High-speed backbones are regularly affected by various kinds of network anomalies, ranging from malicious attacks to harmless large data transfers. Different types of anomalies...