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ICS
2005
Tsinghua U.
15 years 3 months ago
What is worth learning from parallel workloads?: a user and session based analysis
Learning useful and predictable features from past workloads and exploiting them well is a major source of improvement in many operating system problems. We review known parallel ...
Julia Zilber, Ofer Amit, David Talby
SDM
2008
SIAM
144views Data Mining» more  SDM 2008»
14 years 11 months ago
Semi-supervised Multi-label Learning by Solving a Sylvester Equation
Multi-label learning refers to the problems where an instance can be assigned to more than one category. In this paper, we present a novel Semi-supervised algorithm for Multi-labe...
Gang Chen, Yangqiu Song, Fei Wang, Changshui Zhang
EUROSYS
2007
ACM
15 years 6 months ago
Tashkent+: memory-aware load balancing and update filtering in replicated databases
We present a memory-aware load balancing (MALB) technique to dispatch transactions to replicas in a replicated database. Our MALB algorithm exploits knowledge of the working sets ...
Sameh Elnikety, Steven G. Dropsho, Willy Zwaenepoe...
IROS
2008
IEEE
238views Robotics» more  IROS 2008»
15 years 4 months ago
Shape-guided superpixel grouping for trail detection and tracking
Abstract— We describe a framework for detecting and tracking continuous ”trails” in images and image sequences for autonomous robot navigation. Continuous trails are extended...
Christopher Rasmussen, Donald Scott
IJCNN
2000
IEEE
15 years 2 months ago
Regression Analysis for Rival Penalized Competitive Learning Binary Tree
The main aim of this paper is to develop a suitable regression analysis model for describing the relationship between the index efficiency and the parameters of the Rival Penaliz...
Xuequn Li, Irwin King