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145
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ICCV
2009
IEEE
15 years 2 months ago
Exploiting uncertainty in random sample consensus
In this work, we present a technique for robust estimation, which by explicitly incorporating the inherent uncertainty of the estimation procedure, results in a more efficient rob...
Rahul Raguram, Jan-Michael Frahm, Marc Pollefeys
128
Voted
PRIS
2004
15 years 6 months ago
Neural Network Learning: Testing Bounds on Sample Complexity
Several authors have theoretically determined distribution-free bounds on sample complexity. Formulas based on several learning paradigms have been presented. However, little is kn...
Joaquim Marques de Sá, Fernando Sereno, Lu&...
COLING
2000
15 years 6 months ago
Estimation of Stochastic Attribute-Value Grammars using an Informative Sample
We argue that some of the computational complexity associated with estimation of stochastic attributevalue grammars can be reduced by training upon an informative subset of the fu...
Miles Osborne
INFOCOM
2010
IEEE
15 years 2 months ago
Sample Path Bounds for Long Memory FBM Traffic
Fractional Brownian motion (fBm) emerged as a useful model for self-similar and long-range dependent Internet traffic. Asymptotic, respectively, approximate performance measures ar...
Amr Rizk, Markus Fidler
ICIP
2001
IEEE
16 years 6 months ago
Region-based color image indexing and retrieval
In this paper a region-based color image indexing and retrieval algorithm is presented. As a basis for the indexing, a novel K-Means segmentation algorithm is used, modified so as...
Ioannis Kompatsiaris, Evagelia Triantafillou, Mich...