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152
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TROB
2002
244views more  TROB 2002»
15 years 9 days ago
Distributed surveillance and reconnaissance using multiple autonomous ATVs: CyberScout
The objective of the CyberScout project is to develop an autonomous surveillance and reconnaissance system using a network of all-terrain vehicles. In this paper, we focus on two f...
Mahesh Saptharishi, C. Spence Oliver, Christopher ...
117
Voted
ICPR
2008
IEEE
16 years 1 months ago
A discrete-time parallel update algorithm for distributed learning
We present a distributed machine learning framework based on support vector machines that allows classification problems to be solved iteratively through parallel update algorithm...
Christian Bauckhage, Tansu Alpcan
106
Voted
ACL
2012
13 years 3 months ago
Joint Feature Selection in Distributed Stochastic Learning for Large-Scale Discriminative Training in SMT
With a few exceptions, discriminative training in statistical machine translation (SMT) has been content with tuning weights for large feature sets on small development data. Evid...
Patrick Simianer, Stefan Riezler, Chris Dyer
116
Voted
CVPR
2011
IEEE
14 years 8 months ago
Distributed Computer Vision Algorithms Through Distributed Averaging
Traditional computer vision and machine learning algorithms have been largely studied in a centralized setting, where all the processing is performed at a single central location....
Roberto Tron, René, Vidal
121
Voted
IROS
2009
IEEE
159views Robotics» more  IROS 2009»
15 years 7 months ago
Fault-tolerant formations of mobile robots
—The goal of a robot formation control architecture is to get a number of robots into a specified form. To be effective and practical, the control architecture must be able to tr...
Ross Mead, Robert Long, Jerry B. Weinberg