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» Cleaning and querying noisy sensors
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ICDM
2007
IEEE
122views Data Mining» more  ICDM 2007»
13 years 11 months ago
Representing Tuple and Attribute Uncertainty in Probabilistic Databases
There has been a recent surge in work in probabilistic databases, propelled in large part by the huge increase in noisy data sources — sensor data, experimental data, data from ...
Prithviraj Sen, Amol Deshpande, Lise Getoor
ICFP
2008
ACM
14 years 5 months ago
Flask: staged functional programming for sensor networks
Severely resource-constrained devices present a confounding challenge to the functional programmer: we are used to having powerful ion facilities at our fingertips, but how can we...
Geoffrey Mainland, Greg Morrisett, Matt Welsh
ICDE
2010
IEEE
801views Database» more  ICDE 2010»
14 years 5 months ago
The Similarity Join Database Operator
Similarity joins have been studied as key operations in multiple application domains, e.g., record linkage, data cleaning, multimedia and video applications, and phenomena detectio...
Mohamed H. Ali, Walid G. Aref, Yasin N. Silva
ICARCV
2008
IEEE
184views Robotics» more  ICARCV 2008»
13 years 11 months ago
Learning informative point classes for the acquisition of object model maps
—This paper proposes a set of methods for building informative and robust feature point representations, used for accurately labeling points in a 3D point cloud, based on the typ...
Radu Bogdan Rusu, Zoltan Csaba Marton, Nico Blodow...
WWW
2003
ACM
14 years 6 months ago
Text joins in an RDBMS for web data integration
The integration of data produced and collected across autonomous, heterogeneous web services is an increasingly important and challenging problem. Due to the lack of global identi...
Luis Gravano, Panagiotis G. Ipeirotis, Nick Koudas...