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» Queries with Incomplete Answers over Semistructured Data
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FOCS
2010
IEEE
14 years 7 months ago
Boosting and Differential Privacy
Boosting is a general method for improving the accuracy of learning algorithms. We use boosting to construct improved privacy-preserving synopses of an input database. These are da...
Cynthia Dwork, Guy N. Rothblum, Salil P. Vadhan
PODS
2009
ACM
124views Database» more  PODS 2009»
15 years 10 months ago
Indexing uncertain data
Querying uncertain data has emerged as an important problem in data management due to the imprecise nature of many measurement data. In this paper we study answering range queries...
Pankaj K. Agarwal, Siu-Wing Cheng, Yufei Tao, Ke Y...
SSDBM
2003
IEEE
196views Database» more  SSDBM 2003»
15 years 2 months ago
Stream Window Join: Tracking Moving Objects in Sensor-Network Databases
The widespread use of sensor networks presents revolutionary opportunities for life and environmental science applications. Many of these applications involve continuous queries t...
Moustafa A. Hammad, Walid G. Aref, Ahmed K. Elmaga...
ICDT
2012
ACM
242views Database» more  ICDT 2012»
13 years 11 hour ago
Win-move is coordination-free (sometimes)
In a recent paper by Hellerstein [15], a tight relationship was conjectured between the number of strata of a Datalog¬ program and the number of “coordination stages” require...
Daniel Zinn, Todd J. Green, Bertram Ludäscher
MM
2005
ACM
172views Multimedia» more  MM 2005»
15 years 3 months ago
Learning the semantics of multimedia queries and concepts from a small number of examples
In this paper we unify two supposedly distinct tasks in multimedia retrieval. One task involves answering queries with a few examples. The other involves learning models for seman...
Apostol Natsev, Milind R. Naphade, Jelena Tesic