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» Training of Classifiers Using Virtual Samples Only
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ICML
2007
IEEE
14 years 8 months ago
Support cluster machine
For large-scale classification problems, the training samples can be clustered beforehand as a downsampling pre-process, and then only the obtained clusters are used for training....
Bin Li, Mingmin Chi, Jianping Fan, Xiangyang Xue
HPDC
2010
IEEE
13 years 8 months ago
Cluster-wide context switch of virtualized jobs
Clusters are mostly used through Resources Management Systems (RMS) with a static allocation of resources for a bounded amount of time. Those approaches are known to be insufficie...
Fabien Hermenier, Adrien Lebre, Jean-Marc Menaud
RAS
2008
142views more  RAS 2008»
13 years 7 months ago
Motion intention recognition in robot assisted applications
Acquiring, representing and modeling human skills is one of the key research areas in teleoperation, programming-by-demonstration and human-machine collaborative settings. The pro...
Daniel Aarno, Danica Kragic
HICSS
2010
IEEE
166views Biometrics» more  HICSS 2010»
14 years 1 days ago
VrtProf: Vertical Profiling for System Virtualization
As data centers and end users become increasingly reliant on virtualization technology, more efficient and accurate methods of profiling such systems are needed. However, under vir...
Hussam Mousa, Kshitij Doshi, Timothy Sherwood, ElM...
SIGIR
2011
ACM
12 years 10 months ago
Pseudo test collections for learning web search ranking functions
Test collections are the primary drivers of progress in information retrieval. They provide a yardstick for assessing the effectiveness of ranking functions in an automatic, rapi...
Nima Asadi, Donald Metzler, Tamer Elsayed, Jimmy L...