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135
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DAC
2012
ACM
13 years 6 months ago
Process variation in near-threshold wide SIMD architectures
Near-threshold operation has emerged as a competitive approach for energy-efficient architecture design. In particular, a combination of near-threshold circuit techniques and par...
Sangwon Seo, Ronald G. Dreslinski, Mark Woh, Yongj...
123
Voted
ECCV
2002
Springer
16 years 5 months ago
Dense Motion Analysis in Fluid Imagery
Analyzing fluid motion is essential in number of domains and can rarely be handled using generic computer vision techniques. In this particular application context, we address two ...
Thomas Corpetti, Étienne Mémin, Patr...
152
Voted
ICIP
2003
IEEE
16 years 5 months ago
A probabilistic framework for image segmentation
A new probabilistic image segmentation model based on hypothesis testing and Gibbs Random Fields is introduced. First, a probabilistic difference measure derived from a set of hyp...
Slawo Wesolkowski, Paul W. Fieguth
128
Voted
ICML
2009
IEEE
16 years 4 months ago
Model-free reinforcement learning as mixture learning
We cast model-free reinforcement learning as the problem of maximizing the likelihood of a probabilistic mixture model via sampling, addressing both the infinite and finite horizo...
Nikos Vlassis, Marc Toussaint
ICML
2005
IEEE
16 years 4 months ago
Predicting relative performance of classifiers from samples
This paper is concerned with the problem of predicting relative performance of classification algorithms. It focusses on methods that use results on small samples and discusses th...
Rui Leite, Pavel Brazdil