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ICRA
2006
IEEE
149views Robotics» more  ICRA 2006»
13 years 11 months ago
On Learning the Statistical Representation of a Task and Generalizing it to Various Contexts
— This paper presents an architecture for solving generically the problem of extracting the constraints of a given task in a programming by demonstration framework and the problem...
Sylvain Calinon, Florent Guenter, Aude Billard
EPIA
2007
Springer
13 years 11 months ago
Generalization and Transfer Learning in Noise-Affected Robot Navigation Tasks
Abstract. When a robot learns to solve a goal-directed navigation task with reinforcement learning, the acquired strategy can usually exclusively be applied to the task that has be...
Lutz Frommberger
ISIWI
2000
13 years 6 months ago
Automatic Document Classification - A thorough Evaluation of various Methods
(Automatic) document classification is generally defined as content-based assignment of one or more predefined categories to documents. Usually, machine learning, statistical patt...
Christoph Goller, J. Löning, T. Will, W. Wolf...
FLAIRS
2004
13 years 6 months ago
Context-Based Representation of the Task/Method Paradigm
The simultaneous consideration of various notions (practice, procedure, prescribed task, effective task, task space, task search, task, method, activity) shows that the task accom...
Patrick Brézillon, E. Marquois
ECCV
2004
Springer
14 years 6 months ago
A Statistical Model for General Contextual Object Recognition
We consider object recognition as the process of attaching meaningful labels to specific regions of an image, and propose a model that learns spatial relationships between objects....
Peter Carbonetto, Nando de Freitas, Kobus Barnard