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Francisco A. Pujol, Higinio Mora and José A. Girona-Selva

References Ahonen, T., Hadid, A. and Pietikainen, M. (2004). Face recognition with local binary patterns, Proceedings of the 8th European Conference on Computer Vision, ECCV 2004, Prague, Czech Republic, pp. 469-481. Azorín-López, J., Saval-Calvo, M., Fuster-Guilló, A. and Oliver-Albert, A. (2014). A predictive model for recognizing human behaviour based on trajectory representation, Proceedings of the International Joint Conference on Neural Networks, IJCNN 2014, Beijing, China, pp. 1494-1501. Baltrusaitis, T

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Thomas S. Brown, Shukai Du, Hasan Eruslu and Francisco-Javier Sayas

thereof, and couplings of different models in different subregions. The techniques that we will employ in the first part of the article ( Sections 3 through 7 ) are those of Laplace transforms, understanding the influence of volume forces, normal stresses, and given displacements, as well as the strain-stress relation as transfer functions describing linear distributional processes in the time domain. These techniques are classical, although we will use them in a language that is borrowed from the recent literature of time domain integral equations. In a second part