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» Kernels for Global Constraints
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ASPDAC
2010
ACM
143views Hardware» more  ASPDAC 2010»
15 years 2 months ago
Constrained global scheduling of streaming applications on MPSoCs
Abstract-- We present a global scheduling framework for synchronous data flow (SDF) streaming applications on MPSoCs, based on optimized computation and contention-free routing. Th...
Jun Zhu, Ingo Sander, Axel Jantsch
JMLR
2006
124views more  JMLR 2006»
15 years 4 months ago
A Direct Method for Building Sparse Kernel Learning Algorithms
Many kernel learning algorithms, including support vector machines, result in a kernel machine, such as a kernel classifier, whose key component is a weight vector in a feature sp...
Mingrui Wu, Bernhard Schölkopf, Gökhan H...
ASPDAC
2005
ACM
91views Hardware» more  ASPDAC 2005»
15 years 6 months ago
A Min-area Solution to Performance and RLC Crosstalk Driven Global Routing Problem
-- This paper presents a novel global routing algorithm, AT-PO-GR, to minimize the routing area under both congestion, timing, and RLC crosstalk constraints. The proposed algorithm...
Tong Jing, Ling Zhang, Jinghong Liang, Jingyu Xu, ...
SEMCO
2007
IEEE
15 years 10 months ago
Modeling Discriminative Global Inference
Many recent advances in complex domains such as Natural Language Processing (NLP) have taken a discriminative approach in conjunction with the global application of structural and...
Nicholas Rizzolo, Dan Roth
IJCNN
2007
IEEE
15 years 10 months ago
Agnostic Learning versus Prior Knowledge in the Design of Kernel Machines
Abstract— The optimal model parameters of a kernel machine are typically given by the solution of a convex optimisation problem with a single global optimum. Obtaining the best p...
Gavin C. Cawley, Nicola L. C. Talbot