D. Impedovo

Abstract: - In the era of globalizationof goods and services difficulties in knowledge diffusion still remain. The effective exchange,of experiences,and skills is not guaranteed by the,enormous,potentials of internetworking systems and devices. ,E-learning technologies represent a good ,opportunity to reduce ,the digital divide and to ensure ,faster and higher development ,trends. Several universities and companies ,are currently involved in using ,e-learning

ABSTRACT The aim of this paper is to explore the properties of a new zoning technique based on Voronoi tessellation for the task of handwritten digit recognition. This technique extracts features according to an optimal zoning distribution, obtained by an evolutionary-strategy based search. Extensive experiments have been conducted on the MNIST dataset to investigate strengths and weakness of the proposed approach. Comparisons with regular square zoning reveal that the presented zoning strategy achieves better results with any type of features. Furthermore, the proposed zoning method, jointly with a suitable choice of features, allows a low complexity classifier to reach excellent performances both in terms of accuracy and speed.

ABSTRACT This paper presents three strategies in order to re-train classifiers in a multi-expert scenario when new labeled data become available. The simplest possibility is the use of the entire new dataset. The second possibility is related to the consideration that each single classifier is able to select new patterns starting from those on which it performs a miss-classification. Finally, the multi expert system behavior can be inspected to select profitable samples. More specifically a misclassified sample, for a particular classifier, is used to update that classifier only if it produces a miss-classification by the ensemble of classifiers. The three approaches are compared under different conditions on two different state of the art performing classifiers by considering the CEDAR (handwritten digit) database. It is shown how results depend by the amount of the new training samples, as well as by the specific combination decision schema.

INTERNATIONAL JOURNAL OF EDUCATION AND INFORMATION TECHNOLOGIES Issue 1, Volume 3, 2009 Problem Solving to teach Processing Systems: Engineering learning ... Sebastiano Impedovo is with the "Centro Rete Paglia" - via G. Pclroni, 15/F. I, Bari, Italy - and the ...

ABSTRACT This paper presents a new technique for the analysis of stability in static signature images. The technique uses an equimass segmentation approach to non-uniformly split signatures into a standard number of regions. Successively, a multiple matching technique is adopted to estimate stability of each region, based on cosine similarity. The GPDS database has been considered for the experimental test. The results demonstrate the validity of the novel approach and highlight some directions for further research.

Abstract: - In the era of globalization of goods and services, there are still difficulties in knowledge diffusion. The enormous potential of internetworking systems and devices for fast information sharing is not sufficient to determine the effective exchange of knowledge, as required to ...