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NC
2006
132views Neural Networks» more  NC 2006»
15 years 4 months ago
Learning short multivariate time series models through evolutionary and sparse matrix computation
Multivariate Time Series (MTS) data are widely available in different fields including medicine, finance, bioinformatics, science and engineering. Modelling MTS data accurately is...
Stephen Swift, Joost N. Kok, Xiaohui Liu
136
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SIGKDD
2008
149views more  SIGKDD 2008»
15 years 4 months ago
Knowledge discovery from sensor data (SensorKDD)
Wide-area sensor infrastructures, remote sensors, RFIDs, and wireless sensor networks yield massive volumes of disparate, dynamic, and geographically distributed data. As such sen...
Ranga Raju Vatsavai, Olufemi A. Omitaomu, Joao Gam...
104
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IVC
2007
82views more  IVC 2007»
15 years 4 months ago
Cloud covering denoising through image fusion
This paper presents a solution to the cloud removal problem, based in a recently developed image fusion methodology consisting in applying a 1-D pseudo-Wigner distribution (PWD) t...
Salvador Gabarda, Gabriel Cristóbal
177
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TSMC
2008
162views more  TSMC 2008»
15 years 4 months ago
A New Model for Secure Dissemination of XML Content
Abstract--The paper proposes an approach to content dissemination that exploits the structural properties of an Extensible Markup Language (XML) document object model in order to p...
Ashish Kundu, Elisa Bertino
TSP
2008
166views more  TSP 2008»
15 years 4 months ago
Nonuniform Sampling of Periodic Bandlimited Signals
Abstract--Digital processing techniques are based on representing a continuous-time signal by a discrete set of samples. This paper treats the problem of reconstructing a periodic ...
E. Margolis, Yonina C. Eldar
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