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ICMLA
2009
13 years 4 months ago
Alive on Back-feed Culprit Identification via Machine Learning
We describe an application of machine learning techniques toward the problem of predicting which network protector switch is the cause of an Alive on Back-Feed (ABF) event in the ...
Bert C. Huang, Ansaf Salleb-Aouissi, Philip Gross
CVPR
2009
IEEE
1866views Computer Vision» more  CVPR 2009»
15 years 2 months ago
Understanding and evaluating blind deconvolution algorithms
Blind deconvolution is the recovery of a sharp version of a blurred image when the blur kernel is unknown. Recent algorithms have afforded dramatic progress, yet many aspects of...
Anat Levin, Yair Weiss, Frédo Durand, Willi...
ROBOCUP
2001
Springer
96views Robotics» more  ROBOCUP 2001»
13 years 11 months ago
Strategy Learning for a Team in Adversary Environments
Team strategy acquisition is one of the most important issues of multiagent systems, especially in an adversary environment. RoboCup has been providing such an environment for AI a...
Yasutake Takahashi, Takashi Tamura, Minoru Asada
ECAI
2008
Springer
13 years 8 months ago
Multi-valued Pattern Databases
Pattern Databases were a major breakthrough in heuristic search by solving hard combinatorial problems various orders of magnitude faster than state-of-the-art techniques at that ...
Carlos Linares López
MCS
2002
Springer
13 years 6 months ago
Multiclassifier Systems: Back to the Future
Abstract. While a variety of multiple classifier systems have been studied since at least the late 1950's, this area came alive in the 90's with significant theoretical a...
Joydeep Ghosh