With the continuous evolution of the types of attacks against computer networks, traditional intrusion detection systems, based on pattern matching and static signatures, are incr...
Mobile data management has been an active area of research for the past fifteen years. Besides dealing with mobility itself, issues central in data management for mobile computin...
This paper presents an on-line unsupervised learning mechanism for unlabeled data that are polluted by noise. Using a similarity thresholdbased and a local error-based insertion c...
In this work, a laboratory of remote access is proposed to perform experiments using the Internet in order to facilitate the propagation of technical and scientific information an...
Kernel machines have been shown as the state-of-the-art learning techniques for classification. In this paper, we propose a novel general framework of learning the Unified Kernel ...