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» Learning from Multiple Sources of Inaccurate Data
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CORR
2010
Springer
61views Education» more  CORR 2010»
13 years 7 months ago
Utility and Privacy of Data Sources: Can Shannon Help Conceal and Reveal Information?
Abstract-- The problem of private information "leakage" (inadvertently or by malicious design) from the myriad large centralized searchable data repositories drives the n...
Lalitha Sankar, S. Raj Rajagopalan, H. Vincent Poo...
BMVC
2010
13 years 5 months ago
Back to the Future: Learning Shape Models from 3D CAD Data
Recognizing 3D objects from arbitrary view points is one of the most fundamental problems in computer vision. A major challenge lies in the transition between the 3D geometry of o...
Michael Stark, Michael Goesele, Bernt Schiele
IJON
2002
105views more  IJON 2002»
13 years 7 months ago
Separation of sources using simulated annealing and competitive learning
This paper presents a new adaptive procedure for the linear and non-linear separation of signals with non-uniform, symmetrical probability distributions, based on both simulated a...
Carlos García Puntonet, Ali Mansour, Christ...
FSR
2003
Springer
123views Robotics» more  FSR 2003»
14 years 23 days ago
Learning Predictions of the Load-Bearing Surface for Autonomous Rough-Terrain Navigation in Vegetation
Current methods for off-road navigation using vehicle and terrain models to predict future vehicle response are limited by the accuracy of the models they use and can suffer if th...
Carl Wellington, Anthony Stentz
VLDB
1997
ACM
112views Database» more  VLDB 1997»
13 years 11 months ago
Selectivity Estimation Without the Attribute Value Independence Assumption
The result size of a query that involves multiple attributes from the same relation depends on these attributes’ joint data distribution,i.e., the frequencies of all combination...
Viswanath Poosala, Yannis E. Ioannidis