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» The Kernel Least-Mean-Square Algorithm
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DAC
1999
ACM
15 years 10 months ago
Kernel-Based Power Optimization of RTL Components: Exact and Approximate Extraction Algorithms
Luca Benini, Giovanni De Micheli, Enrico Macii, Gi...
FSTTCS
2000
Springer
15 years 1 months ago
Coordinatized Kernels and Catalytic Reductions: An Improved FPT Algorithm for Max Leaf Spanning Tree and Other Problems
Abstract. We describe some new, simple and apparently general methods for designing FPT algorithms, and illustrate how these can be used to obtain a signi cantly improved FPT algor...
Michael R. Fellows, Catherine McCartin, Frances A....
63
Voted
CSE
2009
IEEE
14 years 10 months ago
Efficient Translation of Algorithmic Kernels on Large-Scale Multi-cores
In this paper we present the design of a novel embedded processor architecture (which we call a
Amit Pande, Joseph Zambreno
KDD
2007
ACM
197views Data Mining» more  KDD 2007»
15 years 10 months ago
Learning the kernel matrix in discriminant analysis via quadratically constrained quadratic programming
The kernel function plays a central role in kernel methods. In this paper, we consider the automated learning of the kernel matrix over a convex combination of pre-specified kerne...
Jieping Ye, Shuiwang Ji, Jianhui Chen
95
Voted
JMLR
2008
169views more  JMLR 2008»
14 years 9 months ago
Multi-class Discriminant Kernel Learning via Convex Programming
Regularized kernel discriminant analysis (RKDA) performs linear discriminant analysis in the feature space via the kernel trick. Its performance depends on the selection of kernel...
Jieping Ye, Shuiwang Ji, Jianhui Chen