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» Optimal Causal Inference
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91
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BC
2007
102views more  BC 2007»
14 years 10 months ago
Bayesian processing of vestibular information
Complex self-motion stimulations in the dark can be powerfully disorienting and can create illusory motion percepts. In the absence of visual cues, the brain has to use angular and...
Jean Laurens, Jacques Droulez
98
Voted
CORR
2008
Springer
234views Education» more  CORR 2008»
14 years 10 months ago
Bayesian Compressive Sensing via Belief Propagation
Compressive sensing (CS) is an emerging field based on the revelation that a small collection of linear projections of a sparse signal contains enough information for stable, sub-N...
Dror Baron, Shriram Sarvotham, Richard G. Baraniuk
MICCAI
2010
Springer
14 years 8 months ago
3D Knowledge-Based Segmentation Using Pose-Invariant Higher-Order Graphs
Segmentation is a fundamental problem in medical image analysis. The use of prior knowledge is often considered to address the ill-posedness of the process. Such a process consists...
Chaohui Wang, Olivier Teboul, Fabrice Michel, Salm...
IPSN
2010
Springer
15 years 5 months ago
Bayesian optimization for sensor set selection
We consider the problem of selecting an optimal set of sensors, as determined, for example, by the predictive accuracy of the resulting sensor network. Given an underlying metric ...
Roman Garnett, Michael A. Osborne, Stephen J. Robe...
VLDB
1994
ACM
118views Database» more  VLDB 1994»
15 years 2 months ago
Query Optimization by Predicate Move-Around
A new type of optimization, called predicate move-around, ia introduced. It is shown how this optimization `considerably improvea the efficiency of evaluating SQL queries that hav...
Alon Y. Levy, Inderpal Singh Mumick, Yehoshua Sagi...