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» Kernels for Global Constraints
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ASPDAC
2010
ACM
143views Hardware» more  ASPDAC 2010»
13 years 5 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»
13 years 7 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»
13 years 9 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
14 years 2 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
14 years 2 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