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...
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...
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 ...
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...
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...