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» A general algorithm for data dependence analysis
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IPSN
2003
Springer
15 years 8 months ago
Hypothesis Testing over Factorizations for Data Association
Abstract. The issue of data association arises frequently in sensor networks; whenever multiple sensors and sources are present, it may be necessary to determine which observations...
Alexander T. Ihler, John W. Fisher III, Alan S. Wi...
WIDM
2006
ACM
15 years 9 months ago
An architecture for creating collaborative semantically capable scientific data sharing infrastructures
Increasingly, scientists are seeking to collaborate and share data among themselves. Such sharing is can be readily done by publishing data on the World-Wide Web. Meaningful query...
Anuj R. Jaiswal, C. Lee Giles, Prasenjit Mitra, Ja...
131
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VLDB
1999
ACM
89views Database» more  VLDB 1999»
15 years 7 months ago
Physical Data Independence, Constraints, and Optimization with Universal Plans
We present an optimization method and algorithm designed for three objectives: physical data independence, semantic optimization, and generalized tableau minimization. The method ...
Alin Deutsch, Lucian Popa, Val Tannen
PODS
2001
ACM
190views Database» more  PODS 2001»
16 years 3 months ago
On the Effects of Dimensionality Reduction on High Dimensional Similarity Search
The dimensionality curse has profound e ects on the effectiveness of high-dimensional similarity indexing from the performance perspective. One of the well known techniques for im...
Charu C. Aggarwal
EWSN
2007
Springer
16 years 2 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