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» Algorithms for Index-Assisted Selectivity Estimation
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IROS
2006
IEEE
132views Robotics» more  IROS 2006»
15 years 6 months ago
Closing a Million-Landmarks Loop
— We present an improved version of the treemap SLAM algorithm which uses Cholesky factors for representing Gaussians and a Hierarchical Tree Partitioning algorithm derived from ...
Udo Frese, Lutz Schroder
124
Voted
SCALESPACE
2001
Springer
15 years 5 months ago
Bayesian Object Detection through Level Curves Selection
Bayesian statistical theory is a convenient way of taking a priori information into consideration when inference is made from images. In Bayesian image detection, the a priori dist...
Charles Kervrann
CP
2004
Springer
15 years 6 months ago
Heuristic Selection for Stochastic Search Optimization: Modeling Solution Quality by Extreme Value Theory
The success of stochastic algorithms is often due to their ability to effectively amplify the performance of search heuristics. This is certainly the case with stochastic sampling ...
Vincent A. Cicirello, Stephen F. Smith
88
Voted
CORR
2010
Springer
100views Education» more  CORR 2010»
15 years 21 days ago
The Projected GSURE for Automatic Parameter Tuning in Iterative Shrinkage Methods
Linear inverse problems are very common in signal and image processing. Many algorithms that aim at solving such problems include unknown parameters that need tuning. In this work...
Raja Giryes, Michael Elad, Yonina C. Eldar
81
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CORR
2006
Springer
98views Education» more  CORR 2006»
15 years 19 days ago
Bayesian Regression of Piecewise Constant Functions
We derive an exact and efficient Bayesian regression algorithm for piecewise constant functions of unknown segment number, boundary location, and levels. It works for any noise an...
Marcus Hutter