We study the limitations of steganography when the sender is not using any properties of the underlying channel beyond its entropy and the ability to sample from it. On the negati...
Nenad Dedic, Gene Itkis, Leonid Reyzin, Scott Russ...
In this paper we describe and analyze a method based on local least square fitting for estimating the normals at all sample points of a point cloud data (PCD) set, in the presenc...
Abstract. Markov random fields are often used to model high dimensional distributions in a number of applied areas. A number of recent papers have studied the problem of reconstruc...
We present a sample re-weighting scheme inspired by recent results in margin theory. The basic idea is to add to the training set replicas of samples which are not classified with...
A high quality review of the distance learning literature from 1992–1999 concluded that most of the research on distance learning had serious methodological flaws. This paper pr...