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» Approximation Techniques for Spatial Data
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EWSN
2007
Springer
16 years 4 months ago
Removing Systematic Error in Node Localisation Using Scalable Data Fusion
Methods for node localisation in sensor networks usually rely upon the measurement of received strength, time-of-arrival, and/or angle-of-arrival of an incoming signal. In this pap...
Albert Krohn, Mike Hazas, Michael Beigl
144
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GLOBECOM
2006
IEEE
15 years 11 months ago
Multicode MIMO for High Data Rate Mobile Ad-hoc Networks
Abstract—In a mobile ad-hoc network scenario, where communication nodes are mounted on moving platforms (like jeeps, trucks, tanks, etc.), use of V-BLAST requires that the number...
Thati Srikanth, Shamaiah Manohar, Ananthanarayanan...
ICDE
2010
IEEE
874views Database» more  ICDE 2010»
16 years 4 months ago
UV-Diagram: A Voronoi Diagram for Uncertain Data
The Voronoi diagram is an important technique for answering nearest-neighbor queries for spatial databases. In this paper, we study how the Voronoi diagram can be used on uncertain...
Reynold Cheng, Xike Xie, Man Lung Yiu, Jinchuan Ch...
AIPR
2006
IEEE
15 years 11 months ago
Data Fusion, De-noising, and Filtering to Produce Cloud-Free High Quality Temporal Composites Employing Parallel Temporal Map Al
Remotely sensed images from satellite sensors such as MODIS Aqua and Terra provide high temporal resolution and wide area coverage. Unfortunately, these images frequently include ...
Bijay Shrestha, Charles G. O'Hara, Preeti Mali
CIKM
2005
Springer
15 years 10 months ago
Exact match search in sequence data using suffix trees
We study suitable indexing techniques to support efficient exact match search in large biological sequence databases. We propose a suffix tree (ST) representation, called STA-DF, ...
Mihail Halachev, Nematollaah Shiri, Anand Thamildu...