We describe the integration of smart digital objects with Hebbian learning to create a distributed, real-time, scalable approach to adapting to a community's preferences. We ...
Thomas Lutkenhouse, Michael L. Nelson, Johan Bolle...
Abstract. Conventional artificial neural network models lack many physiological properties of the neuron. Current learning algorithms are more concerned to computational performanc...
We present a novel, inexpensive, coarse tracking system that determines a person’s approximate 2D location and 1D head orientation in an indoor environment. While this coarse tr...
This paper explores the implications of integrating flexible module generation into a compiler for FPGAs. The objective is to improve the programmabilityof FPGAs, or in other wor...
Custom computing systems exhibit significant speedups over traditional microprocessors by mapping compute-intensive sections of a program to reconfigurable logic [Hauck98]. Howeve...
Katherine Compton, James Cooley, Stephen Knol, Sco...