Demands to make education flexible and active call for a comprehensive restructuring of the traditional university course format. We show how such restructuring can be done in a natural and coherent way by combining e-learning with Polyscopic Topic Maps, an information structuring method which is being developed by the authors. We describe a university course model called Flexplearn which is ba...

The objective of TellMaris (IST 2000-28249, www.tellmaris.com) is the development of a tourist information system for mobile clients which is able to display 3D maps. Surveys have shown that 3D maps in some cases can offer a better guidance in unfamiliar environments than conventional 2D maps. In order to achieve this, state-of-the-art technologies in the fields of telecommunication, geometric ...

A four-layer feed-forward back-propagation Artificial Neural Network (ANN) is applied to weather radar echo maps of reflectivity data for the prediction of heavy rainfall events in the short-range of 1 to 2 hours. Inputs for the ANN are the cross correlations of statistical measures of a sequence of radar images. The ANN is trained to capture increasingly organized echo patterns that often are ...

Self-organizing maps (SOMs) are a technique that has been used with high-dimensional data vectors to develop an archetypal set of states (nodes) that span, in some sense, the high-dimensional space. Noteworthy applications include weather states as described by weather variables over a region and speech patterns as characterized by frequencies in time. The SOM approach is essentially a neural n...

Medical records have been used for a long time with different forms, aims, and usages. This heterogeneity is the result of different professions, ways of working, and needs. It is but prejudicial to querying and sharing data and documents. Moreover, we consider that the system must be as close as possible to a more classical, noncomputerized way of working, such as paper-based medical record, a...

Erratum to “A novel tensor distribution model for the diffusion-weighted MR signal” [NeuroImage 37 (2007) 164–176] Bing Jian, Baba C. Vemuri,⁎ Evren Özarslan, Paul R. Carney, and Thomas H. Mareci Department of Computer and Information Science and Engineering, University of Florida, P.O. Box 116120, Gainesville, FL 32611, USA Section on Tissue Biophysics and Biomimetics, LIMB, NICHD, National In...

This paper attempts to identify sources of resource use inefficiency for cotton production in Pakistan’s Punjab. The use of a non-parametric method, Data Envelopment Analysis (DEA), is developed to study the relative technical and allocative efficiencies of individual farms which use similar inputs, produce the same product and operate under comparable circumstances. In the ‘cotton–wheat’ syste...

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The Inverse Frobenius-Perron problem (IFPP) concerns the creation of discrete chaotic mappings with arbitrary invariant densities. In this note, we present a new and elegant solution to the IFPP, based on positive matrix theory. Our method allows chaotic maps with arbitrary piecewise-constant invariant densities, and with arbitrary mixing properties, to be synthesized.

We introduce a novel approach for separating and segmenting individual facades from streetside images. Our algorithm incorporates prior knowledge about arbitrarily shaped repetitive regions which are detected using intensity profile descriptors and a voting–based matcher. In the experiments we compare our approach to extended state–of–the–art matching approaches using more than 600 challenging ...