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ICDE
2010
IEEE
188views Database» more  ICDE 2010»
15 years 9 months ago
Space-efficient Online Approximation of Time Series Data: Streams, Amnesia, and Out-of-order
In this paper, we present an abstract framework for online approximation of time-series data that yields a unified set of algorithms for several popular models: data streams, amnes...
Sorabh Gandhi, Luca Foschini, Subhash Suri
MDM
2007
Springer
137views Communications» more  MDM 2007»
15 years 3 months ago
Infrastructure for Data Processing in Large-Scale Interconnected Sensor Networks
Abstract—With the price of wireless sensor technologies diminishing rapidly we can expect large numbers of autonomous sensor networks being deployed in the near future. These sen...
Karl Aberer, Manfred Hauswirth, Ali Salehi
ACCV
2010
Springer
14 years 4 months ago
An Efficient RANSAC for 3D Object Recognition in Noisy and Occluded Scenes
In this paper, we present an efficient algorithm for 3D object recognition in presence of clutter and occlusions in noisy, sparse and unsegmented range data. The method uses a robu...
Chavdar Papazov, Darius Burschka
ER
2007
Springer
187views Database» more  ER 2007»
15 years 3 months ago
Metamodeling Integration Architecture for Open Biomedical Ontologies: The GO Extensions' Case Study
New technologies used in biology are generating huge quantities of data; up to two petabytes of overall data are to be expected by the end of the decade. Modern biology also has t...
Marie-Noëlle Terrasse, Marinette Savonnet, Er...
ATAL
2007
Springer
15 years 4 months ago
A framework for agent-based distributed machine learning and data mining
This paper proposes a framework for agent-based distributed machine learning and data mining based on (i) the exchange of meta-level descriptions of individual learning processes ...
Jan Tozicka, Michael Rovatsos, Michal Pechoucek