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» Optimization of Collective Reduction Operations
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ISQED
2008
IEEE
112views Hardware» more  ISQED 2008»
15 years 4 months ago
Robust Analog Design for Automotive Applications by Design Centering with Safe Operating Areas
The effects of random variations during the manufacturing process on devices can be simulated as a variation of transistor parameters. Device degradation, due to temperature or vo...
Udo Sobe, Karl-Heinz Rooch, Andreas Ripp, Michael ...
91
Voted
ICCV
2009
IEEE
16 years 2 months ago
Dimensionality Reduction and Principal Surfaces via Kernel Map Manifolds
We present a manifold learning approach to dimensionality reduction that explicitly models the manifold as a mapping from low to high dimensional space. The manifold is represen...
Samuel Gerber, Tolga Tasdizen, Ross Whitaker
INFOCOM
2007
IEEE
15 years 3 months ago
Reduction of Quality (RoQ) Attacks on Dynamic Load Balancers: Vulnerability Assessment and Design Tradeoffs
—One key adaptation mechanism often deployed in networking and computing systems is dynamic load balancing. The goal from employing dynamic load balancers is to ensure that the o...
Mina Guirguis, Azer Bestavros, Ibrahim Matta, Yuti...
NIPS
2003
14 years 11 months ago
Kernel Dimensionality Reduction for Supervised Learning
We propose a novel method of dimensionality reduction for supervised learning. Given a regression or classification problem in which we wish to predict a variable Y from an expla...
Kenji Fukumizu, Francis R. Bach, Michael I. Jordan
JMLR
2006
143views more  JMLR 2006»
14 years 9 months ago
Geometric Variance Reduction in Markov Chains: Application to Value Function and Gradient Estimation
We study a sequential variance reduction technique for Monte Carlo estimation of functionals in Markov Chains. The method is based on designing sequential control variates using s...
Rémi Munos