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In this paper we propose a computable approach to represent medical rules by means of Fuzzy Clinical Decision Support Systems by preserving both accuracy and interpretability. Usually, prediction accuracy of these systems goes to overlook their linguistic interpretability and, in order to simultaneously optimize those conflicting properties, multi-objective evolutionary algorithms are adopted. Differently,...
In this paper, we show some results about 3D urban scenes reconstruction using a fisheye stereovision setup. We propose an analytical analysis of epipolar geometry of the system and an analytical description of tools to compute a 3D point cloud from matched pixels. The novelty is that we do not rectify the images and that we match points along 3D or 2D epipolar curves. The matching process is based...
This paper describes a new approach to the modeling of epidemic dynamics with complex networks. The infection spreading considers the links of each ill node and the probability to infect healthy nodes. Moreover, a fitness parameter is used for each node of a network to simulate the individual reaction against an infectious process. The dynamics of infection has been evaluated on different kinds of...
In this paper, we present three versions of an open source software for biometric iris recognition called OSIRIS_V2, OSIRIS_V3, OSIRIS_V4 which correspond to different implementations of J. Daugman's approach. The experimental results on the database ICE2005 show that OSIRIS_V4 is the most reliable on difficult images while OSIRIS_V2 is the fastest. So, we propose a novel strategy for iris recognition...
Renormalization group methods from statistical physics are developed to accurately describe asymptotic properties of complex networks. As a demonstration, the determinant and the lower and upper eigenvalues of the Laplacian matrix for a hierarchical network model are obtained to assess the collective ability to synchronize agents coupled on the network.
The effectiveness of Genetic Algorithms (GA) heavily depends on the appropriate setting of its parameters. Moreover, optimal values for these parameters depend on both the type of GA and the application problem pattern and must be developed for each particular setting one by one. Therefore it requires special expertise and many experiments to validate the parameter setting. In order to solve this...
This paper deals with the detection of skin pixels in color images containing different ethnic groups' skins. These images are subject to any form of distortion such as the variation of illumination and the variety of capture devices. We have used combination scheme of linear classifiers where each one is devoted to a specific ethnic group. We used kernel Bayesian logistic regression because it outperforms...
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