We present a new machine learning framework called "self-taught learning" for using unlabeled data in supervised classification tasks. We do not assume that the unlabele...
Rajat Raina, Alexis Battle, Honglak Lee, Benjamin ...
Classification of images in many category datasets has
rapidly improved in recent years. However, systems that
perform well on particular datasets typically have one or
more lim...
Broadcast of information in wireless sensor networks is an important operation, e.g., for code updates, queries, membership information, etc. In this paper, we analyze and experim...
We examine the problem of computing exactly the Delaunay graph (and the dual Voronoi diagram) of a set of, possibly intersecting, smooth convex pseudo-circles in the Euclidean pla...
Ioannis Z. Emiris, Elias P. Tsigaridas, George M. ...
We introduce Scioto, Shared Collections of Task Objects, a lightweight framework for providing task management on distributed memory machines under one-sided and globalview parall...
James Dinan, Sriram Krishnamoorthy, D. Brian Larki...