In a coarse-grained reconfigurable architecture, the functions of resources such as Arithmetic Logic Units (ALUs) can be reconfigured. Unlike the programmability of a general purp...
Learning from ambiguous training data is highly relevant in many applications. We present a new learning algorithm for classification problems where labels are associated with se...
The predominate traffic patterns in a wireless sensor network are many-to-one and one-to-many communication. Hence, the performance of wireless sensor networks is characterized by ...
If an object oriented program is a collection of communicating objects, then the objects' protocols de ne the languages the program speaks. Unfortunately, protocols are di cu...
We present a novel predictive statistical framework to improve the performance of an Eigen Tracker which uses fast and efficient eigen space updates to learn new views of the obje...