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» Extremal collective behavior
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TNN
2010
205views Management» more  TNN 2010»
14 years 11 months ago
Behavior-constrained support vector machines for fMRI data analysis
Statistical learning methods are emerging as a valuable tool for decoding information from neural imaging data. The noisy signal and the limited number of training patterns that ar...
Danmei Chen, Sheng Li, Zoe Kourtzi, Si Wu
VEE
2006
ACM
178views Virtualization» more  VEE 2006»
15 years 10 months ago
Impact of virtual execution environments on processor energy consumption and hardware adaptation
During recent years, microprocessor energy consumption has been surging and efforts to reduce power and energy have received a lot of attention. At the same time, virtual executio...
Shiwen Hu, Lizy Kurian John
VEE
2005
ACM
218views Virtualization» more  VEE 2005»
15 years 10 months ago
The pauseless GC algorithm
Modern transactional response-time sensitive applications have run into practical limits on the size of garbage collected heaps. The heap can only grow until GC pauses exceed the ...
Cliff Click, Gil Tene, Michael Wolf
KDD
2010
ACM
247views Data Mining» more  KDD 2010»
15 years 6 months ago
Metric forensics: a multi-level approach for mining volatile graphs
Advances in data collection and storage capacity have made it increasingly possible to collect highly volatile graph data for analysis. Existing graph analysis techniques are not ...
Keith Henderson, Tina Eliassi-Rad, Christos Falout...
CIDR
2007
141views Algorithms» more  CIDR 2007»
15 years 6 months ago
Data-Driven Processing in Sensor Networks
Wireless sensor networks are poised to enable continuous data collection on unprecedented scales, in terms of area location and size, and frequency. This is a great boon to field...
Adam Silberstein, Gregory Filpus, Kamesh Munagala,...