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ICMLA
2010
13 years 7 months ago
Ensembles of Neural Networks for Robust Reinforcement Learning
Reinforcement learning algorithms that employ neural networks as function approximators have proven to be powerful tools for solving optimal control problems. However, their traini...
Alexander Hans, Steffen Udluft
ICRA
2005
IEEE
174views Robotics» more  ICRA 2005»
14 years 3 months ago
A Deformable Object Tracking Algorithm Robust to Occlusions and Spurious Edges
— Deformable object tracking is used in many robotics applications including biomanipulation, vision-based force sensing, and the control of deformable structures. A tracking alg...
Michael A. Greminger, Bradley J. Nelson
ICASSP
2007
IEEE
14 years 1 months ago
Robust Matched Filters for Target Detection in Hyperspectral Imaging Data
Most detection algorithms for hyperspectral imaging applications assume a target with a perfectly known spectral signature. In practice, the target signature is either imperfectly...
Dimitris Manolakis, Ronald Lockwood, Thomas Cooley...
AMW
2010
13 years 11 months ago
Robust Clustering of Data Streams using Incremental Optimization
Discovering the patterns in evolving data streams is a very important and challenging task. In many applications, it is useful to detect the dierent patterns evolving over time and...
Basheer Hawwash, Olfa Nasraoui
AR
2002
89views more  AR 2002»
13 years 9 months ago
Chromatic adaptation for robust visual navigation
This paper analyzes the effects of the application of visual adaptation mechanisms on snapshot-based guidance methods. The guidance principle of the visual homing is proven to be a...
Giovanni M. Bianco, Alessandro Rizzi