Conventional remote sensing classification techniques that model the data in each class with a multivariate Gaussian distribution are inefficient, as this assumption is generally ...
Chintan A. Shah, Manoj K. Arora, Stefan A. Robila,...
The problem of how a teacher and a learner can cooperate in the process of learning concepts from examples in order to minimize the required sample size without “coding tricks...
Sandra Zilles, Steffen Lange, Robert Holte, Martin...
This paper presents an online learning algorithm to construct from video sequences an image-based representation that is useful for recognition and tracking. For a class of object...
We present a type system for checking object immutability, read-only references, and class immutability in an open or closed world. To allow object initialization outside object co...
—Many data center devices, for instance packet switches, can be modeled within the context of resource constrained queueing systems. In this paper, we define a novel algorithm c...
Benjamin Yolken, Dimitrios Tsamis, Nicholas Bambos