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CSDA
2010
139views more  CSDA 2010»
13 years 5 months ago
Detecting influential observations in Kernel PCA
Kernel Principal Component Analysis extends linear PCA from a Euclidean space to any reproducing kernel Hilbert space. Robustness issues for Kernel PCA are studied. The sensitivit...
Michiel Debruyne, Mia Hubert, Johan Van Horebeek
RAID
2010
Springer
13 years 4 months ago
Kernel Malware Analysis with Un-tampered and Temporal Views of Dynamic Kernel Memory
Dynamic kernel memory has been a popular target of recent kernel malware due to the difficulty of determining the status of volatile dynamic kernel objects. Some existing approach...
Junghwan Rhee, Ryan Riley, Dongyan Xu, Xuxian Jian...
ICIP
2008
IEEE
14 years 7 months ago
Using local regression kernels for statistical object detection
We present a novel approach to the problem of detection of visual similarity between a template image, and patches in a given image. The method is based on the computation of a lo...
Hae Jong Seo, Peyman Milanfar
COLT
2004
Springer
13 years 11 months ago
A Statistical Mechanics Analysis of Gram Matrix Eigenvalue Spectra
Abstract. The Gram matrix plays a central role in many kernel methods. Knowledge about the distribution of eigenvalues of the Gram matrix is useful for developing appropriate model...
David C. Hoyle, Magnus Rattray
ISCAS
2005
IEEE
131views Hardware» more  ISCAS 2005»
13 years 11 months ago
Timing yield estimation using statistical static timing analysis
—As process variations become a significant problem in deep sub-micron technology, a shift from deterministic static timing analysis to statistical static timing analysis for hig...
Min Pan, Chris C. N. Chu, Hai Zhou