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CORR
2006
Springer
99views Education» more  CORR 2006»
14 years 10 months ago
PAC Learning Mixtures of Axis-Aligned Gaussians with No Separation Assumption
Abstract. We propose and analyze a new vantage point for the learning of mixtures of Gaussians: namely, the PAC-style model of learning probability distributions introduced by Kear...
Jon Feldman, Ryan O'Donnell, Rocco A. Servedio
JDA
2008
100views more  JDA 2008»
14 years 10 months ago
Efficient sampling of random permutations
We show how to uniformly distribute data at random (not to be confounded with permutation routing) in two settings that are able to deal with massive data: coarse grained parallel...
Jens Gustedt
JDA
2006
85views more  JDA 2006»
14 years 10 months ago
Average case analysis of DJ graphs
Abstract. Sreedhar et al. [SGL98, Sre95] have presented an eliminationbased algorithm to solve data flow problems. A thorough analysis of the algorithm shows that the worst-case pe...
Johann Blieberger
JMLR
2006
104views more  JMLR 2006»
14 years 10 months ago
Learning Image Components for Object Recognition
In order to perform object recognition it is necessary to learn representations of the underlying components of images. Such components correspond to objects, object-parts, or fea...
Michael W. Spratling
IJISEC
2007
66views more  IJISEC 2007»
14 years 10 months ago
Protecting data privacy through hard-to-reverse negative databases
The paper extends the idea of negative representations of information for enhancing privacy. Simply put, a set DB of data elements can be represented in terms of its complement set...
Fernando Esponda, Elena S. Ackley, Paul Helman, Ha...