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FOCS
2010
IEEE
13 years 5 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
DMDW
2000
161views Management» more  DMDW 2000»
13 years 8 months ago
View materialization for nested GPSJ queries
View materialization is a central issue in logical design of data warehouses since it is one of the most powerful techniques to improve the response to the workload. Most approach...
Matteo Golfarelli, Stefano Rizzi
CDC
2010
IEEE
149views Control Systems» more  CDC 2010»
13 years 2 months ago
Nonuniform coverage and cartograms
In this paper, we investigate nonuniform coverage of a planar region by a network of autonomous, mobile agents. We derive centralized nonuniform coverage control laws from uniform ...
Francois Lekien, Naomi Ehrich Leonard
CVPR
2006
IEEE
14 years 9 months ago
Groupwise point pattern registration using a novel CDF-based Jensen-Shannon Divergence
In this paper, we propose a novel and robust algorithm for the groupwise non-rigid registration of multiple unlabeled point-sets with no bias toward any of the given pointsets. To...
Fei Wang, Baba C. Vemuri, Anand Rangarajan
ALMOB
2007
151views more  ALMOB 2007»
13 years 7 months ago
Local sequence alignments statistics: deviations from Gumbel statistics in the rare-event tail
Background: The optimal score for ungapped local alignments of infinitely long random sequences is known to follow a Gumbel extreme value distribution. Less is known about the imp...
Stefan Wolfsheimer, Bernd Burghardt, Alexander K. ...