Reinforcement Learning (RL) is analyzed here as a tool for control system optimization. State and action spaces are assumed to be continuous. Time is assumed to be discrete, yet th...
Abstract. An application of the recently proposed generalized relevance learning vector quantization (GRLVQ) to the analysis and modeling of time series data is presented. We use G...
In this paper we present in detail a new efficient linear time and space suffix array construction algorithm(SACA), called the D-CriticalSubstring algorithm. The algorithm is built...
In this work a joint clock recovery (CR) and equalization scheme for short burst transmissions is presented. The joint optimization performance may be pursued by means of both data...
The article deals with the problem of texture description. It presents a statistical approach. Specifically it introduces the use of first- and second-order statistics on textur...