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ICASSP
2011
IEEE
14 years 1 months ago
Fast orthogonal decomposition of Volterra cubic kernels using oblique unfolding
Discrete-time Volterra modeling is a central topic in many application areas and a large class of nonlinear systems can be modeled using high-order Volterra series. The problem wi...
Rémy Boyer, Roland Badeau, Gérard Fa...
ICASSP
2010
IEEE
14 years 9 months ago
Nonlinear kernel backprojection for computed tomography
In this paper, we propose a kernel backprojection method for computed tomography. The classical backprojection method estimates an unknown pixel value by the summation of the proj...
Hiroyuki Takeda, Peyman Milanfar
CP
2010
Springer
14 years 7 months ago
Towards Parallel Non Serial Dynamic Programming for Solving Hard Weighted CSP
We introduce a parallelized version of tree-decomposition based dynamic programming for solving difficult weighted CSP instances on many cores. A tree decomposition organizes cost ...
David Allouche, Simon de Givry, Thomas Schiex
ICML
2008
IEEE
15 years 10 months ago
Localized multiple kernel learning
Recently, instead of selecting a single kernel, multiple kernel learning (MKL) has been proposed which uses a convex combination of kernels, where the weight of each kernel is opt...
Ethem Alpaydin, Mehmet Gönen
ICML
2004
IEEE
15 years 10 months ago
Distribution kernels based on moments of counts
Many applications in text and speech processing require the analysis of distributions of variable-length sequences. We recently introduced a general kernel framework, rational ker...
Corinna Cortes, Mehryar Mohri