This paper presents an approach to build Sparse Large Margin Classifiers (SLMC) by adding one more constraint to the standard Support Vector Machine (SVM) training problem. The ad...
We propose a general framework for learning from labeled and unlabeled data on a directed graph in which the structure of the graph including the directionality of the edges is co...
In this paper, we present Fly, a prototype presentation system that adds a visual structure to presentations. Current presentation software, like PowerPoint, structure slides in a...
David Holman, Predrag Stojadinovic, Thorsten Karre...
A model for movement time for scrolling is developed and verified experimentally. It is hypothesized that the maximum scroll speed is a constant at which the target can be perceiv...
The theory of compressive sampling involves making random linear projections of a signal. Provided signal is sparse in some basis, small number of such measurements preserves the ...