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Mostrando publicaciones 1-7 de 7
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Automatic generation of synthetic palm vein images: a nature-based approach
Salazar, E.; Hernández-García, Ruber; Barrientos, Ricardo ; Vilches-Ponce, Karina; Mora, Marco ; Vásquez, A. (2021)Biometric systems are essential in modern society because of the growing demand for security. Palm vein patterns have become an emerging biometric trait during the last decade. Despite that, the publicly available datasets ...
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Conditioning of extreme learning machine for noisy data using heuristic optimization
This article provides a tool that can be used in the exact sciences to obtain good approximations to reality when noisy data is inevitable. Two heuristic optimization algorithms are implemented: Simulated Annealing and ...
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Discrimination of seismic waves produced by volcanoes using self-organizing maps
Hernández-García, Ruber; Salazar, A.; Salazar, E.; Cadena, Oscar (2020)The analysis and classification of seismic records of volcanoes allow us to determine the alert state in which it is. A timely study of these signs can contribute to decision-making to safeguard the integrity of people in ...
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Extreme learning machine adapted to noise based on optimization algorithms
The extreme learning machine for neural networks of feedforward of a single hidden layer randomly assigns the weights of entry and analytically determines the weights the output by means the Moore-Penrose inverse, this ...
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Generating style-based palm vein synthetic images for the creation of large-scale datasets
Salazar, E.; Hernández-García, Ruber; Barrientos, Ricardo ; Vilches-Ponce, Karina; Mora, Marco ; Vásquez, A. (2021)Individuals recognition through their biometric traits is an essential component of modern society. The recent literature includes several works based on palm vein recognition for individual identification, being a very ...
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Semi-supervised extreme learning machine channel estimator and equalizer for vehicle to vehicle communications
Salazar, E.; Azurdia-Meza, Cesar A.; Zabala-Blanco, David; Bolufé, Sandy; Soto, Ismael (2021)Wireless vehicular communications are a promising technology. Most applications related to vehicular communications aim to improve road safety and have special requirements concerning latency and reliability. The traditional ...
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Writer verification based on simple graphemes and extreme learning machine approaches
Mora, Marco ; Vásquez, A.; Aubin, Verónica; Salazar, E.; Barrientos, Ricardo ; Hernández-García, Ruber; Vilches-Ponce, Karina (2020)Traditional literature presents complex biometric sources, descriptors, and classifiers to solve the writer's verification problem. The simple graphemes have been studied recently considering classifiers such as multilayer ...