A moving cluster is defined by a set of objects that move close to each other for a long time interval. Real-life examples are a group of migrating animals, a convoy of cars movin...
Clustering constitutes an ubiquitous problem when dealing with huge data sets for data compression, visualization, or preprocessing. Prototype-based neural methods such as neural g...
Alexander Hasenfuss, Barbara Hammer, Fabrice Rossi
— First order linear time invariant and time delayed dynamics of neutral type is taken into account with three rationally independent delays. There are two main contributions of ...
Efficiently and accurately searching for similarities among time series and discovering interesting patterns is an important and non-trivial problem. In this paper, we introduce a...
An area-eficzent systolic architecture for realtime, programmable-coeBcient jinite impulse response (FIR)filters is presented. A technique called pipelined clustering is introduce...