— While the Partially Observable Markov Decision Process (POMDP) provides a formal framework for the problem of robot control under uncertainty, it typically assumes a known and ...
During persistent surveillance of a given population in a conflict situation, data management can quickly become unwieldy due to the inundation of low-level information from many, ...
Colleen L. Phillips, Norman D. Geddes, Justin T. S...
In the 21st century, organizations are experiencing environmental changes characterized by indistinct organizational boundaries and fast-paced change. As a result firms need appro...
We propose in this paper a novel approach to the induction of the structure of Hidden Markov Models. The induced model is seen as a lumped process of a Markov chain. It is construc...
Applications such as robot navigation and augmented reality require high-accuracy dense disparity maps in real-time and online. Due to time constraint, most realtime stereo applic...