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» Embedding Heterogeneous Data Using Statistical Models
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PRL
2006
106views more  PRL 2006»
15 years 14 days ago
Urban monitoring using multi-temporal SAR and multi-spectral data
In some key operational domains, the joint use of synthetic aperture radar (SAR) and multi-spectral sensors has shown to be a powerful tool for Earth observation. In this paper, w...
Luis Gómez-Chova, Diego Fernández-Pr...
105
Voted
SEMWEB
2010
Springer
14 years 10 months ago
Summary Models for Routing Keywords to Linked Data Sources
The proliferation of linked data on the Web paves the way to a new generation of applications that exploit heterogeneous data from different sources. However, because this Web of d...
Thanh Tran, Lei Zhang, Rudi Studer
CCGRID
2010
IEEE
15 years 1 months ago
Streamflow Programming Model for Data Streaming in Scientific Workflows
Geo-sciences involve large-scale parallel models, high resolution real time data from highly asynchronous and heterogeneous sensor networks and instruments, and complex analysis a...
Chathura Herath, Beth Plale
BMCBI
2008
186views more  BMCBI 2008»
15 years 20 days ago
Variable selection for large p small n regression models with incomplete data: Mapping QTL with epistases
Background: Identifying quantitative trait loci (QTL) for both additive and epistatic effects raises the statistical issue of selecting variables from a large number of candidates...
Min Zhang, Dabao Zhang, Martin T. Wells
106
Voted
HPDC
2007
IEEE
15 years 6 months ago
A statistical approach to risk mitigation in computational markets
We study stochastic models to mitigate the risk of poor Quality-of-Service (QoS) in computational markets. Consumers who purchase services expect both price and performance guaran...
Thomas Sandholm, Kevin Lai