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» A reinforcement learning model of selective visual attention
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TFCV
1994
13 years 9 months ago
Attentive Visual Motion Processing: Computations in the Log-Polar Plane
Attentive vision is characterized by selective sensing in space and time as well as selective processing with respect to a speci c task. Selection in space involves the splitting ...
Konstantinos Daniilidis
ICML
2005
IEEE
14 years 8 months ago
Interactive learning of mappings from visual percepts to actions
We introduce flexible algorithms that can automatically learn mappings from images to actions by interacting with their environment. They work by introducing an image classifier i...
Justus H. Piater, Sébastien Jodogne
WAPCV
2007
Springer
14 years 1 months ago
A Proto-object Based Visual Attention Model
One of the first steps of any visual system is that of locating suitable interest points, ‘salient regions’, in the scene, to detect events, and eventually to direct gaze towa...
Francesco Orabona, Giorgio Metta, Giulio Sandini
ICRA
2006
IEEE
131views Robotics» more  ICRA 2006»
14 years 1 months ago
Using Reinforcement Learning to Improve Exploration Trajectories for Error Minimization
Abstract— The mapping and localization problems have received considerable attention in robotics recently. The exploration problem that drives mapping has started to generate sim...
Thomas Kollar, Nicholas Roy
IVC
2008
106views more  IVC 2008»
13 years 7 months ago
Attention links sensing to recognition
This paper presents arguments that explicit strategies for visual attentional selection are important for cognitive vision systems, and shows that a number of proposals currently ...
Albert L. Rothenstein, John K. Tsotsos