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» Using model knowledge for learning inverse dynamics
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115
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CVPR
2007
IEEE
16 years 4 months ago
Joint Object Segmentation and Behavior Classification in Image Sequences
In this paper, we propose a general framework for fusing bottom-up segmentation with top-down object behavior classification over an image sequence. This approach is beneficial fo...
Laura Gui, Jean-Philippe Thiran, Nikos Paragios
115
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ATAL
2010
Springer
15 years 3 months ago
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Learning, planning, and representing knowledge in large state t multiple levels of temporal abstraction are key, long-standing challenges for building flexible autonomous agents. ...
Jonathan Sorg, Satinder P. Singh
MICCAI
2009
Springer
16 years 3 months ago
Biomechanically-Constrained 4D Estimation of Myocardial Motion
We propose a method for the analysis of Magnetic Resonance (MR) cardiac images with the goal of reconstructing the motion of the ventricular walls. The main feature of our method i...
Hari Sundar, Christos Davatzikos, George Biros
ISER
1997
Springer
202views Robotics» more  ISER 1997»
15 years 6 months ago
Interactive Visual and Force Rendering of Human-Knee Dynamics
The kinematics and force/displacement relationships of elements of biological joints are notoriously difficult to understand. In particular, the human knee has bearing surfaces o...
Randy E. Ellis, P. Zion, C. Y. Tso
FSS
2010
147views more  FSS 2010»
15 years 1 months ago
A divide and conquer method for learning large Fuzzy Cognitive Maps
Fuzzy Cognitive Maps (FCMs) are a convenient tool for modeling and simulating dynamic systems. FCMs were applied in a large number of diverse areas and have already gained momentu...
Wojciech Stach, Lukasz A. Kurgan, Witold Pedrycz