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Neighbour-based bag-of-samplings for person identification through handwritten dynamics and convolutional neural networks
(2022-05-01)
Biometric recognition provides straightforward methods to deal with the problem of identifying people under certain circumstances. Additionally, a well-calibrated biometric system enhances security policies and prevents ...
Recognition of handwritten digits by image processing methods and classification models
(Corporación Universidad de la Costa, 2020)
A multi-class structured dictionary learning method using discriminant atom selection
(Springer, 2020-11)
In the last decade, traditional dictionary learning methods have been successfully applied to various pattern classification tasks. Although these methods produce sparse representations of signals which are robust against ...
Fine-Tuning Convolutional Neural Networks Using Harmony Search
(Springer, 2015-01-01)
Deep learning-based approaches have been paramount in the last years, mainly due to their outstanding results in several application domains, that range from face and object recognition to handwritten digits identification. ...