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IGARSS
2009
15 years 5 months ago
Developing a New Automated Tool for Detecting and Monitoring Dust and Sand Storms using MODIS and Meteosat SEVIRI-MSG Data
In the last three decades, significant advances have been made in mapping and monitoring environmental changes from Earth Observation satellites across a range of spatial and temp...
Hosni Ghedira, Adnan Al Rais
PVLDB
2010
139views more  PVLDB 2010»
15 years 2 months ago
Identifying the Most Influential Data Objects with Reverse Top-k Queries
Top-k queries are widely applied for retrieving a ranked set of the k most interesting objects based on the individual user preferences. As an example, in online marketplaces, cus...
Akrivi Vlachou, Christos Doulkeridis, Kjetil N&osl...
BIODATAMINING
2008
120views more  BIODATAMINING 2008»
15 years 7 months ago
Filling the gap between biology and computer science
This editorial introduces BioData Mining, a new journal which publishes research articles related to advances in computational methods and techniques for the extraction of useful ...
Jesús S. Aguilar-Ruiz, Jason H. Moore, Mary...
ICCV
2003
IEEE
16 years 9 months ago
Unsupervised Improvement of Visual Detectors using Co-Training
One significant challenge in the construction of visual detection systems is the acquisition of sufficient labeled data. This paper describes a new technique for training visual d...
Anat Levin, Paul A. Viola, Yoav Freund
ICIP
2009
IEEE
16 years 8 months ago
Unsupervised Seabed Segmentation Of Synthetic Aperture Sonar Imagery Via Wavelet Features And Spectral Clustering
An unsupervised seabed segmentation algorithm for synthetic aperture sonar (SAS) imagery is proposed. Each 2 m ? 2 m area of seabed is treated as a unique data point. A set of fea...