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» Learning Hierarchical Shape Models from Examples
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CVPR
2009
IEEE
15 years 5 months ago
Learning General Optical Flow Subspaces for Egomotion Estimation and Detection of Motion Anomalies
This paper deals with estimation of dense optical flow and ego-motion in a generalized imaging system by exploiting probabilistic linear subspace constraints on the flow. We dea...
Richard Roberts (Georgia Institute of Technology),...
IROS
2009
IEEE
132views Robotics» more  IROS 2009»
14 years 4 months ago
Automatic selection of task spaces for imitation learning
Abstract— Previous work [1] shows that the movement representation in task spaces offers many advantages for learning object-related and goal-directed movement tasks through imit...
Manuel Mühlig, Michael Gienger, Jochen J. Ste...
BMCBI
2010
147views more  BMCBI 2010»
13 years 10 months ago
Learning biological network using mutual information and conditional independence
Background: Biological networks offer us a new way to investigate the interactions among different components and address the biological system as a whole. In this paper, a revers...
Dong-Chul Kim, Xiaoyu Wang, Chin-Rang Yang, Jean G...
CORR
1999
Springer
115views Education» more  CORR 1999»
13 years 9 months ago
The Symbol Grounding Problem
: There has been much discussion recently about the scope and limits of purely symbolic models of the mind and about the proper role of connectionism in cognitive modeling. This pa...
Stevan Harnad
SMC
2010
IEEE
198views Control Systems» more  SMC 2010»
13 years 8 months ago
Fast tracking of natural textures using fractal snakes
Abstract — The natural environments that robotic applications often encounter can present difficult problems for imagebased task execution. Prior efforts have used both grayscale...
Christopher E. Smith