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» Tracking in Reinforcement Learning
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130
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ALT
2009
Springer
16 years 17 days ago
Learning from Streams
Abstract. Learning from streams is a process in which a group of learners separately obtain information about the target to be learned, but they can communicate with each other in ...
Sanjay Jain, Frank Stephan, Nan Ye
CVPR
2011
IEEE
14 years 11 months ago
Learning Temporally Consistent Rigidities
We present a novel probabilistic framework for rigid tracking and segmentation of shapes observed from multiple cameras. Most existing methods have focused on solving each of thes...
Jean-Sebastien Franco, Edmond Boyer
CDC
2009
IEEE
119views Control Systems» more  CDC 2009»
15 years 8 months ago
Linear Parameter Varying Iterative Learning Control
— In this paper an Iterative Learning Control (ILC) algorithm is proposed for a certain class of Linear Parameter Varying (LPV) systems whose dynamics change between iterations. ...
Mark Edward John Butcher, Alireza Karimi
CVPR
2009
IEEE
16 years 9 months ago
Learning Signs from Subtitles: A Weakly Supervised Approach to Sign Language Recognition
This paper introduces a fully-automated, unsupervised method to recognise sign from subtitles. It does this by using data mining to align correspondences in sections of videos. Bas...
Helen Cooper, Richard Bowden
124
Voted
ICRA
2005
IEEE
105views Robotics» more  ICRA 2005»
15 years 9 months ago
Learning Activity-Based Ground Models from a Moving Helicopter Platform
— We present a method for learning activity-based ground models based on a multiple particle filter approach to motion tracking in video acquired from a moving aerial platform. ...
Andrew Lookingbill, David Lieb, David Stavens, Seb...