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» An Improved Model Selection Heuristic for AUC
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CGO
2007
IEEE
14 years 2 months ago
Microarchitecture Sensitive Empirical Models for Compiler Optimizations
This paper proposes the use of empirical modeling techniques for building microarchitecture sensitive models for compiler optimizations. The models we build relate program perform...
Kapil Vaswani, Matthew J. Thazhuthaveetil, Y. N. S...
CORR
2008
Springer
91views Education» more  CORR 2008»
13 years 7 months ago
A Logical Model and Data Placement Strategies for MEMS Storage Devices
MEMS storage devices are new non-volatile secondary storages that have outstanding advantages over magnetic disks. MEMS storage devices, however, are much different from magnetic ...
Yi-Reun Kim, Kyu-Young Whang, Min-Soo Kim 0002, Il...
GECCO
2006
Springer
132views Optimization» more  GECCO 2006»
13 years 11 months ago
"Optimal" mutation rates for genetic search
Using a set of model landscapes we examine how different mutation rates affect different search metrics. We show that very universal heuristics, such as 1/N and the error threshol...
Jorge Cervantes, Christopher R. Stephens
CVPR
2009
IEEE
13 years 11 months ago
Learning to associate: HybridBoosted multi-target tracker for crowded scene
We propose a learning-based hierarchical approach of multi-target tracking from a single camera by progressively associating detection responses into longer and longer track fragm...
Yuan Li, Chang Huang, Ram Nevatia
ATS
2009
IEEE
117views Hardware» more  ATS 2009»
14 years 2 months ago
N-distinguishing Tests for Enhanced Defect Diagnosis
Diagnostic ATPG has traditionally been used to generate test patterns that distinguish pairs of modeled faults. In this work, we investigate the use of n-distinguishing test sets,...
Gang Chen, Janusz Rajski, Sudhakar M. Reddy, Irith...