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» An Adaptive Approach to Data Placement
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Publication
383views
16 years 7 months ago
Hunting Nessie -- Real-Time Abnormality Detection from Webcams
We present a data-driven, unsupervised method for unusual scene detection from static webcams. Such time-lapse data is usually captured with very low or varying framerate. This ...
Michael D. Breitenstein, Helmut Grabner, Luc Van G...
179
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RTCSA
2009
IEEE
16 years 1 months ago
Multi-path Planning for Mobile Element to Prolong the Lifetime of Wireless Sensor Networks
Mobile elements, which can traverse the deployment area and convey the observed data from static sensor nodes to a base station, have been introduced for energy efficient data co...
Dakai Zhu, Yifeng Guo, Ali Saman Tosun
222
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FUZZIEEE
2007
IEEE
15 years 11 months ago
Evolving Single- and Multi-Model Fuzzy Classifiers with FLEXFIS-Class
Abstract-- In this paper a new method for training singlemodel and multi-model fuzzy classifiers incrementally and adaptively is proposed, which is called FLEXFIS-Class. The evolvi...
Edwin Lughofer, Plamen P. Angelov, Xiaowei Zhou
178
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GECCO
2006
Springer
186views Optimization» more  GECCO 2006»
15 years 10 months ago
Characterizing large text corpora using a maximum variation sampling genetic algorithm
An enormous amount of information available via the Internet exists. Much of this data is in the form of text-based documents. These documents cover a variety of topics that are v...
Robert M. Patton, Thomas E. Potok
160
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CLUSTER
2008
IEEE
16 years 1 months ago
Redistribution aware two-step scheduling for mixed-parallel applications
— Applications raising in many scientific fields exhibit both data and task parallelism that have to be exploited efficiently. A classic approach is to structure those applica...
Sascha Hunold, Thomas Rauber, Frédér...