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IJCAI
2003
15 years 5 months ago
Gaussian Process Models of Spatial Aggregation Algorithms
Multi-level spatial aggregates are important for data mining in a variety of scientific and engineering applications, from analysis of weather data (aggregating temperature and p...
Naren Ramakrishnan, Christopher Bailey-Kellogg
JMLR
2002
117views more  JMLR 2002»
15 years 3 months ago
Learning to Construct Fast Signal Processing Implementations
A single signal processing algorithm can be represented by many mathematically equivalent formulas. However, when these formulas are implemented in code and run on real machines, ...
Bryan Singer, Manuela M. Veloso
ICDM
2009
IEEE
207views Data Mining» more  ICDM 2009»
15 years 1 months ago
Spatially Adaptive Classification and Active Learning of Multispectral Data with Gaussian Processes
Multispectral remote sensing images are widely used for automated land use and land cover classification tasks. Remotely sensed images usually cover large geographical areas, and s...
Goo Jun, Ranga Raju Vatsavai, Joydeep Ghosh
230
Voted
PE
2011
Springer
321views Optimization» more  PE 2011»
14 years 11 months ago
Quasi-birth-and-death processes with restricted transitions and its applications
In this paper we identify a class of Quasi-Birth-and-Death (QBD) processes where the transitions to higher (resp. lower) levels are restricted to occur only from (resp. to) a subs...
Juan F. Pérez, Benny Van Houdt
IEEEHPCS
2010
14 years 10 months ago
Preliminary results for Atmospheric Remote Sensing data processing through Grid computing
In September 2009, the Indian Remote Sensing OCEANSAT-2 satellite was launched from Sriharikota (India). Moreover, OCEANSAT-2 carry on-board a third payload, called ROSA (Radio Oc...
Lorenzo Mossucca, Olivier Terzo, Maurizio Molinaro...