Now showing items 1-4 of 4
On the Learning of Deep Local Features for Robust Face Spoofing Detection
(Proceedings - 31st Conference on Graphics, Patterns and Images, SIBGRAPI 2018, 2019-01-15) [Trabalho apresentado em evento]
Biometrics emerged as a robust solution for security systems. However, given the dissemination of biometric applications, criminals are developing techniques to circumvent them by simulating physical or behavioral traits ...
Black Hole Algorithm for non-technical losses characterization
(2015 IEEE 6th Latin American Symposium on Circuits and Systems, LASCAS 2015 - Conference Proceedings, 2015-01-01) [Trabalho apresentado em evento]
With the consolidation of Smart Grids, a considerable amount of works can be noticed, mainly with respect to the application of several artificial intelligence techniques in order to automatically identify non-technical ...
Blur parameter identification through optimum-path forest
(Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2017-01-01) [Trabalho apresentado em evento]
Image acquisition processes usually add some level of noise and degradation, thus causing common problems in image restoration. The restoration process depends on the knowledge about the degradation parameters, which is ...
A Deep Boltzmann machine-based approach for robust image denoising
(Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2018-01-01) [Trabalho apresentado em evento]
A Deep Boltzmann Machine (DBM) is composed of a stack of learners called Restricted Boltzmann Machines (RBMs), which correspond to a specific kind of stochastic energy-based networks. In this work, a DBM is applied to a ...