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» A visual analytics approach to model learning
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SLSFS
2005
Springer
14 years 16 days ago
Constructing Visual Models with a Latent Space Approach
We propose the use of latent space models applied to local invariant features for object classification. We investigate whether using latent space models enables to learn patterns...
Florent Monay, Pedro Quelhas, Daniel Gatica-Perez,...
GECCO
2007
Springer
144views Optimization» more  GECCO 2007»
13 years 11 months ago
Mixing independent classifiers
In this study we deal with the mixing problem, which concerns combining the prediction of independently trained local models to form a global prediction. We deal with it from the ...
Jan Drugowitsch, Alwyn Barry
IPPS
2010
IEEE
13 years 5 months ago
PreDatA - preparatory data analytics on peta-scale machines
Peta-scale scientific applications running on High End Computing (HEC) platforms can generate large volumes of data. For high performance storage and in order to be useful to scien...
Fang Zheng, Hasan Abbasi, Ciprian Docan, Jay F. Lo...
ICCSA
2007
Springer
13 years 11 months ago
Modeling a Legged Robot for Visual Servoing
This article presents a contribution to the visual tracking of objects using all the degrees of freedom of an Aibo ERS-7 robot. We approach this issue in a principled way applying ...
Zelmar Echegoyen, Alicia D'Anjou, Manuel Gra&ntild...
ICRA
2009
IEEE
125views Robotics» more  ICRA 2009»
13 years 4 months ago
Photometry-based visual servoing using light reflexion models
Abstract-- We present in this paper a way to achieve positioning tasks by visual servoing under complex luminance variations. To do that, we use as visual features the luminance of...
Christophe Collewet, Éric Marchand