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ICML
2009
IEEE
14 years 11 months ago
Robust feature extraction via information theoretic learning
In this paper, we present a robust feature extraction framework based on informationtheoretic learning. Its formulated objective aims at simultaneously maximizing the Renyi's...
Xiaotong Yuan, Bao-Gang Hu
ICASSP
2008
IEEE
14 years 4 months ago
Performance and robustness: A trade-off in dynamic signature verification
A performance and robustness study for on-line signature veri cation is presented. Experiments are carried out on the MCYT database comprising 16,500 signatures from 330 subjects,...
Javier Galbally, Julian Fiérrez, Javier Ort...
IPPS
2007
IEEE
14 years 4 months ago
Models and Heuristics for Robust Resource Allocation in Parallel and Distributed Computing Systems
This is an overview of the robust resource allocation research efforts that have been and continue to be conducted by the CSU Robustness in Computer Systems Group. Parallel and di...
David L. Janovy, Jay Smith, Howard Jay Siegel, Ant...
CVPR
2010
IEEE
14 years 2 months ago
On the design of robust classifiers for computer vision
The design of robust classifiers, which can contend with the noisy and outlier ridden datasets typical of computer vision, is studied. It is argued that such robustness requires l...
Hamed Masnadi-Shirazi, Nuno Vasconcelos, Vijay Mah...
IBPRIA
2007
Springer
13 years 12 months ago
A Density-Based Data Reduction Algorithm for Robust Estimators
In this paper we present a non parametric density-based data reduction technique designed to be used in robust parameter estimation problems. Existing approaches are focused on red...
Luis Ferraz, Ramon Lluis Felip, Brais Martí...