Temporally-asymmetric Hebbian learning is a class of algorithms motivated by data from recent neurophysiology experiments. While traditional Hebbian learning rules use mean firin...
The performance features of MEMS transducers allow the development of a new class of small, low-power sensor microsystems which utilize a suite of sensors to support a wide range ...
In this paper we present a volume data model amenable to querying volumes in databases. Unlike most existing volume models, which are directed towards specific applications (notab...
The Reeb graph of a scalar function represents the evolution of the topology of its level sets. In this video, we describe a near-optimal output-sensitive algorithm for computing ...
In the paper we recover a Hammerstein system nonlinearity. Hammerstein systems, incorporating nonlinearity and dynamics, play an important role in various applications, and e¤ecti...
Zygmunt Hasiewicz, Grzegorz Mzyk, Przemyslaw Sliwi...