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FOCS
2010
IEEE
15 years 4 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
ICPR
2010
IEEE
15 years 4 months ago
A Re-evaluation of Pedestrian Detection on Riemannian Manifolds
Abstract--Boosting covariance data on Riemannian manifolds has proven to be a convenient strategy in a pedestrian detection context. In this paper we show that the detection perfor...
Diego Tosato, Michela Farenzena, Marco Cristani, V...
IMC
2010
ACM
15 years 4 months ago
Characterizing radio resource allocation for 3G networks
3G cellular data networks have recently witnessed explosive growth. In this work, we focus on UMTS, one of the most popular 3G mobile communication technologies. Our work is the f...
Feng Qian, Zhaoguang Wang, Alexandre Gerber, Zhuoq...
IDA
2009
Springer
15 years 4 months ago
Hierarchical Extraction of Independent Subspaces of Unknown Dimensions
Abstract. Independent Subspace Analysis (ISA) is an extension of Independent Component Analysis (ICA) that aims to linearly transform a random vector such as to render groups of it...
Peter Gruber, Harold W. Gutch, Fabian J. Theis
CDC
2010
IEEE
117views Control Systems» more  CDC 2010»
15 years 1 months ago
Distributed iterative regularization algorithms for monotone Nash games
In this paper, we consider the development of single-timescale schemes for the distributed computation of Nash equilibria. In general, equilibria associated with convex Nash games ...
Aswin Kannan, Uday V. Shanbhag