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Detection of suspicious attitudes on video using neuroevolved shallow and deep neural networks models
(Instituto Tecnológico y de Estudios Superiores de Monterrey, 2021-11)
The analysis of surveillance cameras is a critical task usually limited by the people involved in the video supervision devoted to such a task, their knowledge, and their judgment. Security guards protect other people from ...
Convolutional neural network with multi-column characteristics extraction for image classification
(Corporación Universidad de la Costa, 2020)
Fingerprint Liveness Detection Using Convolutional Neural Networks
(IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INCPISCATAWAY, 2016)
Fingerprint Liveness Detection Using Convolutional Neural Networks
(IEEE-Inst Electrical Electronics Engineers IncPiscataway, 2016)
Impact of class imbalance on convolutional neural network training in multi-class problems
(Corporación Universidad de la Costa, 2020)
3D face recognition with descriptor images and shallow convolutional neural networks
(Universidade Federal de São CarlosUFSCarPrograma de Pós-Graduação em Ciência da Computação - PPGCCCâmpus São Carlos, 2020-11-05)
Nowadays, there is an increasing need for systems that can accurately and quickly identify a person. Traditional identification methods utilize something a person knows or something a person has. This kind of methods has ...
Monte Carlo dropout for uncertainty estimation and motor imagery classification
(Corporación Universidad de la Costa, 2021)
Aplicação de redes neurais recorrentes no reconhecimento automático da fala em ambientes com ruídos
(Pós-Graduação em Ciência da ComputaçãoUFS, 2019)
A Layer-Wise Information Reinforcement Approach to Improve Learning in Deep Belief Networks
(2020-01-01)
With the advent of deep learning, the number of works proposing new methods or improving existent ones has grown exponentially in the last years. In this scenario, “very deep” models were emerging, once they were expected ...