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» Tracking in Reinforcement Learning
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ECCV
2004
Springer
15 years 16 days ago
A Bayesian Framework for Multi-cue 3D Object Tracking
This paper presents a Bayesian framework for multi-cue 3D object tracking of deformable objects. The proposed spatio-temporal object representation involves a set of distinct linea...
Jan Giebel, Dariu Gavrila, Christoph Schnörr
ACCV
2006
Springer
14 years 4 months ago
Multiregion Level Set Tracking with Transformation Invariant Shape Priors
Tracking of regions and object boundaries in an image sequence is a well studied problem in image processing and computer vision. So far, numerous approaches tracking different fea...
Michael Fussenegger, Rachid Deriche, Axel Pinz
EMNLP
2007
14 years 3 days ago
The CoNLL 2007 Shared Task on Dependency Parsing
The Conference on Computational Natural Language Learning features a shared task, in which participants train and test their learning systems on the same data sets. In 2007, as in...
Joakim Nivre, Johan Hall, Sandra Kübler, Ryan...
ICRA
2009
IEEE
125views Robotics» more  ICRA 2009»
14 years 5 months ago
Learning motor primitives for robotics
— The acquisition and self-improvement of novel motor skills is among the most important problems in robotics. Motor primitives offer one of the most promising frameworks for the...
Jens Kober, Jan Peters
AAAI
2000
14 years 15 hour ago
Inter-Layer Learning Towards Emergent Cooperative Behavior
As applications for artificially intelligent agents increase in complexity we can no longer rely on clever heuristics and hand-tuned behaviors to develop their programming. Even t...
Shawn Arseneau, Wei Sun, Changpeng Zhao, Jeremy R....