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» Uncertainty Reduction Using Dynamics
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161
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CGO
2003
IEEE
15 years 7 months ago
Adaptive Online Context-Sensitive Inlining
As current trends in software development move toward more complex object-oriented programming, inlining has become a vital optimization that provides substantial performance impr...
Kim M. Hazelwood, David Grove
CDC
2009
IEEE
147views Control Systems» more  CDC 2009»
15 years 7 months ago
A simulation-based method for aggregating Markov chains
— This paper addresses model reduction for a Markov chain on a large state space. A simulation-based framework is introduced to perform state aggregation of the Markov chain base...
Kun Deng, Prashant G. Mehta, Sean P. Meyn
128
Voted
EDBT
2009
ACM
117views Database» more  EDBT 2009»
15 years 5 months ago
A methodology for preference-based personalization of contextual data
The widespread use of mobile appliances, with limitations in terms of storage, power, and connectivity capability, requires to minimize the amount of data to be loaded on user’s...
Antonio Miele, Elisa Quintarelli, Letizia Tanca
WSC
2007
15 years 4 months ago
Ant-based approach for determining the change of measure in importance sampling
Importance Sampling is a potentially powerful variance reduction technique to speed up simulations where the objective depends on the occurrence of rare events. However, it is cru...
Poul E. Heegaard, Werner Sandmann
148
Voted
AMDO
2006
Springer
15 years 6 months ago
Human Motion Synthesis by Motion Manifold Learning and Motion Primitive Segmentation
Abstract. We propose motion manifold learning and motion primitive segmentation framework for human motion synthesis from motion-captured data. High dimensional motion capture date...
Chan-Su Lee, Ahmed M. Elgammal