In many applications, modelling techniques are necessary which take into account the inherent variability of given data. In this paper, we present an approach to model class speciļ...
This research employs unsupervised pattern recognition to approach the thorny issue of detecting anomalous network behavior. It applies a connectionist model to identify user behav...
Abstract. Classiļ¬cation of structured data (i.e., data that are represented as graphs) is a topic of interest in the machine learning community. This paper presents a diļ¬erent,...
This paper demonstrates that the waves produced on the surface of water can be used as the medium for a āLiquid State Machineā that pre-processes inputs so allowing a simple pe...
We provide an overview of spline and wavelet techniques with an emphasis on applications in pattern recognition. The presentation is divided in three parts. In the first one, we ar...