In this paper, we present analog VLSI implementation of a resonate-and-fire neuron (RFN) model, and then consider noise effects on its performance of signal detection. The RFN ci...
Kazuki Nakada, Jun Igarashi, A. Tetsuya, Hatsuo Ha...
Anomaly detection is a promising approach to detecting intruders masquerading as valid users (called masqueraders). It creates a user profile and labels any behavior that deviates...
– There has been a recent shift in design paradigms, with many turning towards yield-driven approaches to synthesize and design systems. A major cause of this shift is the contin...
A wide variety of practical problems related to the interaction of agents can be examined using biological metaphors. This paper applies the theory of G-networks to agent systems b...
Abstract. Can we model the temporal evolution of topics in Web image collections? If so, can we exploit the understanding of dynamics to solve novel visual problems or improve reco...