Low overhead analysis of large distributed data sets is necessary for current data centers and for future sensor networks. In such systems, each node holds some data value, e.g., ...
This paper deals with incremental classification and its particular application to invoice classification. An improved version of an already existant incremental neural network ca...
This paper presents several results on dynamic OFDMA systems. It addresses especially the algorithmic complexity involved with several resource allocation approaches, sub-optimal h...
The purpose of this work is to develop a pattern recognition system simulating the human vision. A transparent neural network, with context returns is used. The context returns co...
Abstract--CEDAR is an algorithm for QoS routing in ad hoc network environments. It has three key components: (a) the establishment and maintenance of a self-organizing routing infr...