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On the Learning of Deep Local Features for Robust Face Spoofing Detection.

, , and . SIBGRAPI, page 258-265. IEEE Computer Society, (2018)

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Estimating crowd density with Minkowski fractal dimension., , , and . ICASSP, page 3521-3524. IEEE Computer Society, (1999)Deep Texture Features for Robust Face Spoofing Detection., , , , and . IEEE Trans. on Circuits and Systems, 64-II (12): 1397-1401 (2017)Automatic visual dictionary generation through Optimum-Path Forest clustering., , , , and . ICIP, page 1897-1900. IEEE, (2012)Fine-Tuning Convolutional Neural Networks Using Harmony Search., , , , and . CIARP, volume 9423 of Lecture Notes in Computer Science, page 683-690. Springer, (2015)Semi-supervised learning with connectivity-driven convolutional neural networks., , , , , , , and . Pattern Recognition Letters, (2019)A Graph-Based Framework for Thermal Faceprint Characterization., , and . ICIAP (1), volume 6978 of Lecture Notes in Computer Science, page 169-177. Springer, (2011)Census Histograms: a Simple Feature Extraction and Matching Approach for Face Recognition., , , and . IJPRAI, 25 (8): 1337-1348 (2011)HTS and HTSn: New shape descriptors based on Hough transform statistics., and . Computer Vision and Image Understanding, (2014)Model selection for Discriminative Restricted Boltzmann Machines through meta-heuristic techniques., , , , and . J. Comput. Science, (2015)Analise de texturas orientadas e palicações na monitoração de multidões.. University of Campinas, Brazil, (1997)ndltd.org (oai:repositorio.unicamp.br:REPOSIP/261114).