We study a class of overrelaxed bound optimization algorithms, and their relationship to standard bound optimizers, such as ExpectationMaximization, Iterative Scaling, CCCP and No...
Collective classification can significantly improve accuracy by exploiting relationships among instances. Although several collective inference procedures have been reported, they...
We present two theses in this paper: First, performance of most existing face recognition algorithms improves if instead of the whole image, smaller patches are individually class...
Ritwik Kumar, Arunava Banerjee, CISE, Univ, Baba V...
Supervised text classification is the task of automatically assigning a category label to a previously unlabeled text document. We start with a collection of pre-labeled examples ...
XML is quickly becoming the de facto standard for data exchange over the Internet. This is creating a new set of data management requirements involving XML, such as the need to st...
Igor Tatarinov, Stratis Viglas, Kevin S. Beyer, Ja...