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NIPS
2008
14 years 11 months ago
Domain Adaptation with Multiple Sources
This paper presents a theoretical analysis of the problem of domain adaptation with multiple sources. For each source domain, the distribution over the input points as well as a h...
Yishay Mansour, Mehryar Mohri, Afshin Rostamizadeh
ICMCS
2006
IEEE
116views Multimedia» more  ICMCS 2006»
15 years 3 months ago
Robust Watermarking in the Wigner Domain
In this paper, a new watermarking scheme in the joint timefrequency domain is introduced. Wigner distribution is used to transform an image into the spatial-spectral domain. The p...
Mahmood Al-khassaweneh, Selin Aviyente
ECCC
2007
69views more  ECCC 2007»
14 years 9 months ago
Testing Symmetric Properties of Distributions
We introduce the notion of a Canonical Tester for a class of properties on distributions, that is, a tester strong and general enough that “a distribution property in the class ...
Paul Valiant
GCC
2004
Springer
15 years 3 months ago
Applying Grid Technologies to Distributed Data Mining
The Grid promises improvements in the effectiveness with which global businesses are managed, if it enables distributed expertise to be efficiently applied to the analysis of dist...
Alastair C. Hume, Ashley D. Lloyd, Terence M. Sloa...
HIS
2004
14 years 11 months ago
Adaptive Boosting with Leader based Learners for Classification of Large Handwritten Data
Boosting is a general method for improving the accuracy of a learning algorithm. AdaBoost, short form for Adaptive Boosting method, consists of repeated use of a weak or a base le...
T. Ravindra Babu, M. Narasimha Murty, Vijay K. Agr...