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ICIP
2005
IEEE
16 years 8 months ago
Custom color enhancements by statistical learning
We consider the problem of automatically learning color enhancements from a small set of sample color pairs, and describing the enhancement by a three-dimensional look-uptable tha...
Maya R. Gupta
ICML
2009
IEEE
16 years 7 months ago
Learning when to stop thinking and do something!
An anytime algorithm is capable of returning a response to the given task at essentially any time; typically the quality of the response improves as the time increases. Here, we c...
Barnabás Póczos, Csaba Szepesv&aacut...
ECML
2007
Springer
15 years 10 months ago
Efficient Continuous-Time Reinforcement Learning with Adaptive State Graphs
Abstract. We present a new reinforcement learning approach for deterministic continuous control problems in environments with unknown, arbitrary reward functions. The difficulty of...
Gerhard Neumann, Michael Pfeiffer, Wolfgang Maass
CHI
2007
ACM
15 years 10 months ago
Capturing, sharing, and using local place information
With new technology, people can share information about everyday places they go; the resulting data helps others find and evaluate places. Recent applications like Dodgeball and S...
Pamela J. Ludford, Reid Priedhorsky, Ken Reily, Lo...
JCP
2006
151views more  JCP 2006»
15 years 6 months ago
Simulated Annealing based Wireless Sensor Network Localization
In this paper, we describe a novel localization algorithm for ad hoc wireless sensor networks. Accurate selforganization and localization capability is a highly desirable character...
Anushiya A. Kannan, Guoqiang Mao, Branka Vucetic