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KDD
2007
ACM
202views Data Mining» more  KDD 2007»
16 years 5 months ago
Support feature machine for classification of abnormal brain activity
In this study, a novel multidimensional time series classification technique, namely support feature machine (SFM), is proposed. SFM is inspired by the optimization model of suppo...
Wanpracha Art Chaovalitwongse, Ya-Ju Fan, Rajesh C...
SODA
2010
ACM
190views Algorithms» more  SODA 2010»
16 years 2 months ago
One-Counter Markov Decision Processes
We study the computational complexity of some central analysis problems for One-Counter Markov Decision Processes (OC-MDPs), a class of finitely-presented, countable-state MDPs. O...
Tomas Brazdil, Vaclav Brozek, Kousha Etessami, Ant...
HPCA
2009
IEEE
15 years 11 months ago
Soft error vulnerability aware process variation mitigation
As transistor process technology approaches the nanometer scale, process variation significantly affects the design and optimization of high performance microprocessors. Prior stu...
Xin Fu, Tao Li, José A. B. Fortes
IEEEPACT
2009
IEEE
15 years 11 months ago
Polyhedral-Model Guided Loop-Nest Auto-Vectorization
Abstract—Optimizing compilers apply numerous interdependent optimizations, leading to the notoriously difficult phase-ordering problem — that of deciding which transformations...
Konrad Trifunovic, Dorit Nuzman, Albert Cohen, Aya...
ATAL
2009
Springer
15 years 11 months ago
Context-aware multi-stage routing
In context-aware route planning, a set of agents has to plan routes on a common infrastructure and each agent has to plan a conflict-free route from a source to a destination wit...
Adriaan ter Mors, Jeroen van Belle, Cees Witteveen
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