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» Scaling RDF with time
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180
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ICCV
2009
IEEE
16 years 8 months ago
Video Scene Understanding Using Multi-scale Analysis
We propose a novel method for automatically discover-ing key motion patterns happening in a scene by observing the scene for an extended period. Our method does not rely on object ...
Yang Yang, Jingen Liu, Mubarak Shah
150
Voted
ICASSP
2011
IEEE
14 years 7 months ago
Online Kernel SVM for real-time fMRI brain state prediction
The Support Vector Machine (SVM) methodology is an effective, supervised, machine learning method that gives stateof-the-art performance for brain state classification from funct...
Yongxin Taylor Xi, Hao Xu, Ray Lee, Peter J. Ramad...
149
Voted
ICDE
2011
IEEE
265views Database» more  ICDE 2011»
14 years 7 months ago
RAFTing MapReduce: Fast recovery on the RAFT
MapReduce is a computing paradigm that has gained a lot of popularity as it allows non-expert users to easily run complex analytical tasks at very large-scale. At such scale, task...
Jorge-Arnulfo Quiané-Ruiz, Christoph Pinkel...
133
Voted
ISCA
2011
IEEE
287views Hardware» more  ISCA 2011»
14 years 7 months ago
Scalable power control for many-core architectures running multi-threaded applications
Optimizing the performance of a multi-core microprocessor within a power budget has recently received a lot of attention. However, most existing solutions are centralized and cann...
Kai Ma, Xue Li, Ming Chen, Xiaorui Wang
150
Voted
ISCA
2011
IEEE
270views Hardware» more  ISCA 2011»
14 years 7 months ago
Sampling + DMR: practical and low-overhead permanent fault detection
With technology scaling, manufacture-time and in-field permanent faults are becoming a fundamental problem. Multi-core architectures with spares can tolerate them by detecting an...
Shuou Nomura, Matthew D. Sinclair, Chen-Han Ho, Ve...