Eliana S. de Almeida

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In this work we propose a new approach for fast visualization and exploration of virtual worlds based on the use of cartographic concepts and techniques. Versions of cartographic maps with different levels of details can be created by using a set of operations named cartographic generalization. Car-tographic generalization employs twelve operators and(More)
In this article we test the accuracy of three platforms used in computational modelling: MatLab, Octave and Scilab, running on i386 architecture and three operating systems (Windows, Ubuntu and Mac OS). We submitted them to numerical tests using standard data sets and using the functions provided by each platform. A Monte Carlo study was conducted in some(More)
This paper presents the image formation process in vibro-acoustography for systems based on sector array transducers. These transducers are an alternative to annular concave transducers. They represent an innovative technique deserving detailed assessment in vibro-acoustography applications. The system point-spread function (PSF) is defined in terms of the(More)
A new generalized Statistical Complexity Measure (SCM) was proposed by Rosso et al in 2010. It is a functional that captures the notions of order/disorder and of distance to an equilibrium distribution. The former is computed by a measure of entropy, while the latter depends on the definition of a stochastic divergence. When the scene is illuminated by(More)
This work proposes the use of Information Theory for the characterization of vehicles behavior through their velocities. Three public data sets were used: i. Mobile Century data set collected on Highway I-880, near Union City, California; ii. Borlänge GPS data set collected in the Swedish city of Borlänge; and iii. Beijing taxicabs data set collected in(More)
—This paper presents and discusses the use of a new feature for PolSAR imagery: the Generalized Statistical Complexity. This measure is able to capture the disorder of the data by means of the entropy, as well as its departure from a reference distribution. The latter component is obtained by measuring a stochastic distance between two models: the G 0 and(More)
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