Learning Bayesian networks from data is an N-P hard problem with important practical applications. Several researchers have designed algorithms to overcome the computational comple...
Most work in computer vision has concentrated on studying the individual effects of motion and illumination on a 3D object. In this paper, we present a theory for combining the ef...
Structured Programming techniques are applied to a personal accounting software application implemented in erlang as a demonstration of the utility of processes as design construc...
Abstract. Understanding the functioning of a neural system in terms of its underlying circuitry is an important problem in neuroscience. Recent developments in electrophysiology an...
Debprakash Patnaik, P. S. Sastry, K. P. Unnikrishn...
The exponential data growth rate of the Internet makes it increasingly difficult for people to find desired information in a timely fashion. Information filtering and dissemina...