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116
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ICMLA
2008
15 years 5 months ago
Probabilistic Exploitation of the Lucas and Kanade Smoothness Constraint
The basic idea of Lucas and Kanade is to constrain the local motion measurement by assuming a constant velocity within a spatial neighborhood. We reformulate this spatial constrai...
Volker Willert, Julian Eggert, Marc Toussaint, Edg...
IJCAI
2007
15 years 5 months ago
Training Conditional Random Fields Using Virtual Evidence Boosting
While conditional random fields (CRFs) have been applied successfully in a variety of domains, their training remains a challenging task. In this paper, we introduce a novel trai...
Lin Liao, Tanzeem Choudhury, Dieter Fox, Henry A. ...
124
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SIROCCO
2008
15 years 5 months ago
Self-stabilizing Cuts in Synchronous Networks
Consider a synchronized distributed system where each node can only observe the state of its neighbors. Such a system is called selfstabilizing if it reaches a stable global state ...
Thomas Sauerwald, Dirk Sudholt
121
Voted
NIPS
2007
15 years 5 months ago
An online Hebbian learning rule that performs Independent Component Analysis
Independent component analysis (ICA) is a powerful method to decouple signals. Most of the algorithms performing ICA do not consider the temporal correlations of the signal, but o...
Claudia Clopath, André Longtin, Wulfram Ger...
111
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RSS
2007
151views Robotics» more  RSS 2007»
15 years 5 months ago
Adaptive Non-Stationary Kernel Regression for Terrain Modeling
— Three-dimensional digital terrain models are of fundamental importance in many areas such as the geo-sciences and outdoor robotics. Accurate modeling requires the ability to de...
Tobias Lang, Christian Plagemann, Wolfram Burgard