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» Approximate Kernel Clustering
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ICCV
2009
IEEE
16 years 2 months ago
Constrained Clustering by Spectral Kernel Learning
Clustering performance can often be greatly improved by leveraging side information. In this paper, we consider constrained clustering with pairwise constraints, which specify s...
Zhenguo Li, Jianzhuang Liu
CLUSTER
2006
IEEE
15 years 3 months ago
Kernel-Level Measurement for Integrated Parallel Performance Views: the KTAU Project
The effect of the operating system on application performance is an increasingly important consideration in high performance computing. OS kernel measurement is key to understandi...
Aroon Nataraj, Allen D. Malony, Sameer Shende, Ala...
ICPR
2004
IEEE
15 years 10 months ago
Filtering with Gray-Code Kernels
In this paper we introduce a family of filter kernels the Gray-Code Kernels (GCK) and demonstrate their use in image analysis. Filtering an image with a sequence of Gray-Code Kern...
Gil Ben-Artzi, Hagit Hel-Or, Yacov Hel-Or
ICML
2007
IEEE
15 years 10 months ago
Discriminant kernel and regularization parameter learning via semidefinite programming
Regularized Kernel Discriminant Analysis (RKDA) performs linear discriminant analysis in the feature space via the kernel trick. The performance of RKDA depends on the selection o...
Jieping Ye, Jianhui Chen, Shuiwang Ji
FGR
2006
IEEE
255views Biometrics» more  FGR 2006»
15 years 1 months ago
Incremental Kernel SVD for Face Recognition with Image Sets
Non-linear subspaces derived using kernel methods have been found to be superior compared to linear subspaces in modeling or classification tasks of several visual phenomena. Such...
Tat-Jun Chin, Konrad Schindler, David Suter