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» Kernel Independent Component Analysis
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STOC
2010
ACM
185views Algorithms» more  STOC 2010»
14 years 22 days ago
Measuring independence of datasets
Approximating pairwise, or k-wise, independence with sublinear memory is of considerable importance in the data stream model. In the streaming model the joint distribution is give...
Vladimir Braverman, Rafail Ostrovsky
DAC
2000
ACM
14 years 1 months ago
An asymptotically constant, linearly bounded methodology for the statistical simulation of analog circuits including component m
Abstract: This paper presents a new statistical methodology to simulate the effect of both inter-die and intra-die variation on the electrical performance of analog integrated circ...
Carlo Guardiani, Sharad Saxena, Patrick McNamara, ...
INFFUS
2007
117views more  INFFUS 2007»
13 years 8 months ago
Pixel-based and region-based image fusion schemes using ICA bases
The task of enhancing the perception of a scene by combining information captured by different sensors is usually known as image fusion. The pyramid decomposition and the Dual-Tr...
Nikolaos Mitianoudis, Tania Stathaki
JMLR
2006
132views more  JMLR 2006»
13 years 8 months ago
Accurate Error Bounds for the Eigenvalues of the Kernel Matrix
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...
Mikio L. Braun
CL
2008
Springer
13 years 9 months ago
Foundations of a simple and unified component-oriented language
Component-orientedprogramming(COP)isactuallyakeyresearchtrackinsoftwareengineering.Avarietyofcomponent-oriented s (COLs) have been proposed with new or adapted abstractions and me...
Luc Fabresse, Christophe Dony, Marianne Huchard