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CVPR
2009
IEEE
16 years 4 months ago
Learning to Track with Multiple Observers
We propose a novel approach to designing algorithms for object tracking based on fusing multiple observation models. As the space of possible observation models is too large for...
Björn Stenger, Roberto Cipolla, Thomas Woodle...
JAIR
2008
148views more  JAIR 2008»
14 years 9 months ago
Learning Partially Observable Deterministic Action Models
We present exact algorithms for identifying deterministic-actions' effects and preconditions in dynamic partially observable domains. They apply when one does not know the ac...
Eyal Amir, Allen Chang
IROS
2006
IEEE
119views Robotics» more  IROS 2006»
15 years 3 months ago
Learning Similar Tasks From Observation and Practice
— This paper presents a case study of learning to select behavioral primitives and generate subgoals from observation and practice. Our approach uses local features to generalize...
Darrin C. Bentivegna, Christopher G. Atkeson, Gord...
IJOE
2008
109views more  IJOE 2008»
14 years 9 months ago
Motor-Manipulatory Behaviours and Learning: an Observational Study
: In this paper we investigated the role of motor-manipulatory behaviour in the learning modalities of thirty-five primary school children interacting with a Lego MindStorms kit. I...
Eleonora Bilotta, Lorella Gabriele, Rocco Servidio...
UAI
1998
14 years 11 months ago
Learning From What You Don't Observe
The process of diagnosis involves learning about the state of a system from various observations of symptoms or findings about the system. Sophisticated Bayesian (and other) algor...
Mark A. Peot, Ross D. Shachter