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ICASSP
2009
IEEE
15 years 10 months ago
Bayesian Pursuit algorithm for sparse representation
In this paper, we propose a Bayesian Pursuit algorithm for sparse representation. It uses both the simplicity of the pursuit algorithms and optimal Bayesian framework to determine...
Hadi Zayyani, Massoud Babaie-Zadeh, Christian Jutt...
ICRA
2008
IEEE
216views Robotics» more  ICRA 2008»
15 years 10 months ago
Active robot calibration algorithm
— This paper presents a new updating algorithm to reduce the complexity of computing an observability index for kinematic calibration of robots. An active calibration algorithm i...
Yu Sun, John M. Hollerbach
GECCO
2005
Springer
177views Optimization» more  GECCO 2005»
15 years 9 months ago
Evolving next generation signal compression and reconstruction transforms via genetic algorithms
Ongoing research has established a new methodology for using genetic algorithms [2] to evolve forward and inverse transforms that significantly reduce quantization error in recons...
Frank W. Moore, Patrick Marshall
123
Voted
IBPRIA
2003
Springer
15 years 9 months ago
Incrementally Assessing Cluster Tendencies with a Maximum Variance Cluster Algorithm
A straightforward and efficient way to discover clustering tendencies in data using a recently proposed Maximum Variance Clustering algorithm is proposed. The approach shares the ...
Krzysztof Rzadca, Francesc J. Ferri
ECCV
2000
Springer
15 years 8 months ago
Measuring the Self-Consistency of Stereo Algorithms
A new approach to characterizing the performance of point-correspondence algorithms is presented. Instead of relying on any \ground truth', it uses the self-consistency of th...
Yvan G. Leclerc, Quang-Tuan Luong, Pascal Fua