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» Selectivity Estimation using Probabilistic Models
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ISCI
2007
115views more  ISCI 2007»
15 years 2 months ago
Compressed histograms with arbitrary bucket layouts for selectivity estimation
Selectivity estimation is an important step of query optimization in a database management system, and multidimensional histogram techniques have proved promising for selectivity ...
Dennis Fuchs, Zhen He, Byung Suk Lee
DAGM
2006
Springer
15 years 6 months ago
Model Selection in Kernel Methods Based on a Spectral Analysis of Label Information
Abstract. We propose a novel method for addressing the model selection problem in the context of kernel methods. In contrast to existing methods which rely on hold-out testing or t...
Mikio L. Braun, Tilman Lange, Joachim M. Buhmann
134
Voted
CMSB
2006
Springer
15 years 6 months ago
Probabilistic Model Checking of Complex Biological Pathways
Abstract. Probabilistic model checking is a formal verification technique that has been successfully applied to the analysis of systems from a broad range of domains, including sec...
John Heath, Marta Z. Kwiatkowska, Gethin Norman, D...
JFR
2008
103views more  JFR 2008»
15 years 2 months ago
Monte Carlo localization in outdoor terrains using multilevel surface maps
We propose a novel combination of techniques for robustly estimating the position of a mobile robot in outdoor environments using range data. Our approach applies a particle filte...
Rainer Kümmerle, Rudolph Triebel, Patrick Pfa...
120
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ICIP
2007
IEEE
16 years 4 months ago
Fundamental Matrix Estimation Without Prior Match
This paper presents a probabilistic framework for computing correspondences and fundamental matrix in the structure from motion problem. Inspired by Moisan and Stival [1], we sugg...
Frédéric Sur, Marie-Odile Berger, Ni...