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Efficient exploitation of the Xeon Phi architecture for the Ant Colony Optimization (ACO) metaheuristic
(2017)
In recent years, the use of compute-intensive coprocessors has been widely studied in the field of Parallel Computing to accelerate sequential processes through a Graphic Processing Unit (GPU). Intel has recently released ...
Dynamic PET image denoising
(2018)
Dynamic Positron Emission Tomography (dPET) images are inherently affected by noise and low spatial resolution. The problems aforementioned may lead to incorrect estimation of the uptake of the tracer in tissues. In this ...
Heuristic parametrization of anisotropic diffusion filtering
(2019)
The methods of evolutionary computation allow to set optimal values in a space of solutions from a candidate set. In this work, we have used evolutionary methods, for optimal parameters setting of the anisotropic diffusion ...
A review of convolutional neural network applied to fruit image processing
(2020)
Agriculture has always been an important economic and social sector for humans. Fruit production is especially essential, with a great demand from all households. Therefore, the use of innovative technologies is of vital ...
Writer verification based on simple graphemes and extreme learning machine approaches
(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 ...
The extreme learning machine algorithm for classifying fingerprints
(2020)
Fingerprint recognition is the most employed bio-metric method for identification and verification purposes. Fingerprint images are classified into five categories according to the morphology of their ridges, which decreases ...
Individuals identification based on palm vein matching under a parallel environment
(2019)
Biometric identification and verification are essential mechanisms in modern society. Palm vein recognition is an emerging biometric technique, which has several advantages, especially in terms of security against forgery. ...
Using heaps on GPU
(2022)
Nowadays, searching algorithms are a key component in modern computer science applications. However, traditional approaches of exact search techniques are practicallyan unfeasible solution with the rise of data in ...
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 ...
Towards the generation of synthetic images of palm vein patterns: a review
(2023)
With the recent success of computer vision and deep learning, remarkable progress has been achieved on
automatic personal recognition using vein biometrics. However, collecting large-scale real-world training
data for ...