297 search results - page 7 / 60 » Adaptive Importance Sampling for Estimation in Structured Do... |
123
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SDM
2008
SIAM
15 years 4 months ago
2008
SIAM
Covariate shift is a situation in supervised learning where training and test inputs follow different distributions even though the functional relation remains unchanged. A common...
125
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ICRA
2007
IEEE
15 years 9 months ago
2007
IEEE
— The exploration problem is a central issue in mobile robotics. A complete coverage is not practical if the environment is large with a few small hotspots, and the sampling cost...
134
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FOCS
2007
IEEE
15 years 9 months ago
2007
IEEE
We present a near-optimal reduction from approximately counting the cardinality of a discrete set to approximately sampling elements of the set. An important application of our wo...
143
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SIAMSC
2010
14 years 10 months ago
2010
We present a new "hp" parameter multi-domain certified reduced basis method for rapid and reliable online evaluation of functional outputs associated with parametrized el...
150
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PAMI
2010
15 years 1 months ago
2010
In this paper, we present a new Adaptive Scale Kernel Consensus (ASKC) robust estimator as a generalization of the popular and state-of-the-art robust estimators such as RANSAC (R...