— We investigate the problem of computing the types of the relationships between Internet Autonomous Systems. We refer to the model introduced in [1], [2] that bases the discover...
Giuseppe Di Battista, Maurizio Patrignani, Maurizi...
This paper reports on the development of a visualization system for architectural lighting designers. It starts by motivating the problem as both complex in its physics and social...
Daniel C. Glaser, Roger Tan, John F. Canny, Ellen ...
Temporally-asymmetric Hebbian learning is a class of algorithms motivated by data from recent neurophysiology experiments. While traditional Hebbian learning rules use mean firin...
Motivated by the increasing area and performance overhead caused by wrapping the embedded cores for modular SOC testing, this paper proposes a solution for reducing the number of ...
In this paper, we propose the novel concept of probabilistic design for multimedia systems and a methodology to quickly explore such design space at an early design stage. The pro...