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» Simulation Optimization: Methods and Applications
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APPROX
2006
Springer
121views Algorithms» more  APPROX 2006»
15 years 7 months ago
A Randomized Solver for Linear Systems with Exponential Convergence
Abstract. The Kaczmarz method for solving linear systems of equations Ax = b is an iterative algorithm that has found many applications ranging from computer tomography to digital ...
Thomas Strohmer, Roman Vershynin
126
Voted
ECML
2006
Springer
15 years 7 months ago
Cost-Sensitive Learning of SVM for Ranking
Abstract. In this paper, we propose a new method for learning to rank. `Ranking SVM' is a method for performing the task. It formulizes the problem as that of binary classific...
Jun Xu, Yunbo Cao, Hang Li, Yalou Huang
153
Voted
TVCG
2011
170views more  TVCG 2011»
14 years 10 months ago
Feature-Preserving Volume Data Reduction and Focus+Context Visualization
— The growing sizes of volumetric data sets pose a great challenge for interactive visualization. In this paper, we present a feature-preserving data reduction and focus+context ...
Yu-Shuen Wang, Chaoli Wang, Tong-Yee Lee, Kwan-Liu...
ICCD
2008
IEEE
165views Hardware» more  ICCD 2008»
16 years 9 days ago
Analysis and minimization of practical energy in 45nm subthreshold logic circuits
Abstract— Over the last decade, the design of ultra-lowpower digital circuits in subthreshold regime has been driven by the quest for minimum energy per operation. In this contri...
David Bol, Renaud Ambroise, Denis Flandre, Jean-Di...
127
Voted
CASES
2004
ACM
15 years 8 months ago
Balancing design options with Sherpa
Application specific processors offer the potential of rapidly designed logic specifically constructed to meet the performance and area demands of the task at hand. Recently, t...
Timothy Sherwood, Mark Oskin, Brad Calder