—In this paper we present a novel intrusion detection architecture based on Idiotypic Network Theory (INIDS), that aims at dealing with large scale network attacks featuring vari...
Marek Ostaszewski, Pascal Bouvry, Franciszek Sered...
In this paper, the performance of the Earth Mover’s Distance (EMD) vs χ2 distance as histogram similarity metrics for image retrieval is evaluated experimentally. Ground truth ...
— Finding decompositions of a graph into a family of clusters is crucial to understanding its underlying structure. While most existing approaches focus on partitioning the nodes...
The goal of the knowledge discovery and data mining is to extract the useful knowledge from the given data. Visualization enables us to find structures, features, patterns, and re...
Conventional approaches to image retrieval are based on the assumption that relevant images are physically near the query image in some feature space. This is the basis of the clu...