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ICML
2002
IEEE
14 years 8 months ago
Learning the Kernel Matrix with Semi-Definite Programming
Kernel-based learning algorithms work by embedding the data into a Euclidean space, and then searching for linear relations among the embedded data points. The embedding is perfor...
Gert R. G. Lanckriet, Nello Cristianini, Peter L. ...
ICCAD
2008
IEEE
170views Hardware» more  ICCAD 2008»
14 years 4 months ago
Obstacle-avoiding rectilinear Steiner tree construction
— In today’s VLSI designs, there can be many blockages in a routing region. The obstacle-avoiding rectilinear Steiner minimum tree (OARSMT) problem has become an important prob...
Liang Li, Evangeline F. Y. Young
DATE
2009
IEEE
114views Hardware» more  DATE 2009»
14 years 2 months ago
Hardware aging-based software metering
Abstract—Reliable and verifiable hardware, software and content usage metering (HSCM) are of primary importance for wide segments of e-commerce including intellectual property a...
Foad Dabiri, Miodrag Potkonjak
SAGA
2009
Springer
14 years 2 months ago
Bounds for Multistage Stochastic Programs Using Supervised Learning Strategies
We propose a generic method for obtaining quickly good upper bounds on the minimal value of a multistage stochastic program. The method is based on the simulation of a feasible dec...
Boris Defourny, Damien Ernst, Louis Wehenkel
SMA
2009
ACM
223views Solid Modeling» more  SMA 2009»
14 years 2 months ago
Particle-based forecast mechanism for continuous collision detection in deformable environments
Collision detection in geometrically complex scenes is crucial in physical simulations and real time applications. Works based on spatial hierarchical structures have been propose...
Thomas Jund, David Cazier, Jean-François Du...