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KDD
2006
ACM
165views Data Mining» more  KDD 2006»
16 years 7 months ago
Training linear SVMs in linear time
Linear Support Vector Machines (SVMs) have become one of the most prominent machine learning techniques for highdimensional sparse data commonly encountered in applications like t...
Thorsten Joachims
FPGA
2010
ACM
250views FPGA» more  FPGA 2010»
16 years 3 months ago
Variation-aware placement for FPGAs with multi-cycle statistical timing analysis
Deep submicron processes have allowed FPGAs to grow in complexity and speed. However, such technology scaling has caused FPGAs to become more susceptible to the effects of process...
Gregory Lucas, Chen Dong, Deming Chen
RTCSA
2009
IEEE
16 years 1 months ago
Managing Imprecise Worst Case Execution Times on DVFS Platforms
Abstract—Although energy-efficient real-time task scheduling has attracted a lot of attention in the past decade, most existing results assumed deterministic execution lengths f...
Vandy Berten, Chi-Ju Chang, Tei-Wei Kuo
RTCSA
2008
IEEE
16 years 28 days ago
Energy Management for Periodic Real-Time Tasks with Variable Assurance Requirements
Reliability-aware power management (RAPM) schemes, which consider the negative effects of voltage scaling on system reliability, were recently studied to save energy while preserv...
Dakai Zhu, Xuan Qi, Hakan Aydin
ICC
2007
IEEE
109views Communications» more  ICC 2007»
16 years 26 days ago
Real Time Detection of Link Failures in Inter Domain Routing
Abstract— Measurements have shown that network path failures occur frequently in the Internet and physical link failures can cause network instability in large scale and severity...
Xiaobo Long, Biplab Sikdar