Listar Artículos Científicos por materia "Databases"
Mostrando publicaciones 1-11 de 11
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A new fast training algorithm for autoencoder neural networks based on extreme learning machine
(2022)Autoencoders are neural networks that are characterized by having the same inputs and outputs. This kind of Neural Networks aim to estimate a nonlinear transformation whose parameters allow to represent the input patterns ...
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Accelerated biometric fingerprint search on a multi-GPU environment
(2023)One of the largest biometric databases in Chile is fingerprints, which is also the most widely used biometric in the national context. In this sense, it is relevant to have efficient algorithms in execution time on this ...
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Extreme learning machine (ELM) for detection of hazardous near Earth objects
(2023)The protection of planet Earth, its inhabitants, and all living beings requires the identification of potentially dangerous objects, the simulation of impacts with Earth, and the mitigation of such threats. This research ...
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Fast tuning of extreme learning machine neural networks based with simple optimization algorithms
(2022)Extreme Learning Machine (ELM) is a neural network training paradigm that is characterized by simplicity, speed and high level of accuracy. The tuning of the network parameters is normally carried out with non-linear ...
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From synthetic data to real palm vein identification: a fine-tuning approach
(2023)Palm vein recognition has relevant advantages in comparison with most traditional biometrics, such as high security and recognition performance. In recent years, CNN-based models for vascular biometrics have improved the ...
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Knowledge discovery for higher education student retention based on data mining: Machine learning algorithms and case study in Chile
(2021)Data mining is employed to extract useful information and to detect patterns from often large data sets, closely related to knowledge discovery in databases and data science. In this investigation, we formulate models based ...
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Mathematical palm vein modeling for large-scale biometric recognition
(2023)Individual recognition through palm vein authentication has gained the attention of the scientific community due to its high level of security. However, the algorithms for recognition are validated with a limited number ...
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Parallel training of a set of online sequential extreme learning machines
(2022)Size databases have constantly increased from advances in technology and the Internet, so processing this vast amount of information has been a great challenge. The neural network Extreme Learning Machine (ELM) have been ...
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PVEIN-MLELM: a novel palm vein identification approach through multilayer extreme learning machine
(2022)Biometric identification systems play an essential role in multiple application areas, such as banking services, e-government, and public security, among others. Particularly, palm vein recognition is considered an emerging ...
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Review of extreme learning machines for the identification and classification of fingerprint databases
(2022)The fingerprint is one of the most popular and used biometric traits for the identification of people, due to its bio-invariant characteristic, precision, and easy acquisition. One of the stages in the identification of ...
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Strategy based on data mining and MALDI-Mass spectrometry for control disease of SRS in Salmo Salar
(2018)Piscirickettsia salmonis is a highly transmissible pathogens that cause high mortality in farmed salmonids. In this way, new techniques based on mass spectrometry (MS) and machine learning were applied and combined in an ...