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...
Global shape information is an effective top-down complement
to bottom-up figure-ground segmentation as well
as a useful constraint to avoid drift during adaptive tracking.
We p...
Sharing selected data structures among virtual machines of a safe language can improve resource utilization of each participating run-time system. The challenge is to determine wh...
Bernard Wong, Grzegorz Czajkowski, Laurent Dayn&eg...
This paper introduces a software DSM that can extend its shared object space exceeding 4GB in a 32bit commodity cluster environment. This is achieved through the dynamic memory ma...
In this paper we describe a top-down approach to the segmentation and representation of documents containing tabular structures. Examples of these documents are invoices and techn...
Francesca Cesarini, Marco Gori, Simone Marinai, Gi...