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» Using model knowledge for learning inverse dynamics
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107
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NIPS
1993
15 years 3 months ago
Computational Elements of the Adaptive Controller of the Human Arm
We consider the problem of how the CNS learns to control dynamics of a mechanical system. By using a paradigm where a subject's hand interacts with a virtual mechanical envir...
Reza Shadmehr, Ferdinando A. Mussa-Ivaldi
114
Voted
ICC
2007
IEEE
126views Communications» more  ICC 2007»
15 years 9 months ago
Responsiveness on the Interactive Grid
The Grid vision promises the secure and dynamic sharing of heterogeneous resources across the Internet. To date the emphasis has been on supercomputing scenarios where a relatively...
Colin Allison, Stuart D. J. Purdie, Alan Miller
106
Voted
AI
2001
Springer
15 years 6 months ago
Learning about Constraints by Reflection
A system's constraints characterizes what that system can do. However, a dynamic environment may require that a system alter its constraints. If feedback about a specific situ...
J. William Murdock, Ashok K. Goel
MICCAI
2004
Springer
16 years 3 months ago
Real-Time Multi-model Tracking of Myocardium in Echocardiography Using Robust Information Fusion
Automatic myocardial wall motion tracking in ultrasound images is an important step in analysis of the heart function. Existing methods for Myocardial Wall Tracking are not robust ...
Bogdan Georgescu, Xiang Sean Zhou, Dorin Comaniciu...
177
Voted
ICDAR
2009
IEEE
15 years 9 days ago
Unconstrained Handwritten Document Layout Extraction Using 2D Conditional Random Fields
The paper describes a new approach using a Conditional Random Fields (CRFs) to extract physical and logical layouts in unconstrained handwritten letters such as those sent by indi...
Florent Montreuil, Emmanuele Grosicki, Laurent Heu...