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Mostrando publicaciones 1-20 de 36
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A comparative analysis of massive finger-vein recognition algorithms: from energy consumption perspective
; ; ; ; Barrientos, Ricardo
(2022)
The volume of data generated has grown exponentially in recent years worldwide. In general, parallel architectures such as clusters, multicores, and GPUs have reduced processing times compared to their sequential version. ...
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A parallel computing method for the computation of the Moore-Penrose generalized inverse for shared-memory architectures
; Barrientos, Ricardo; ; Mora, Marco (2023)
The computation of the Moore–Penrose generalized inverse is a commonly used operation in various fields such as the training of neural networks based on random weights. Therefore, a fast computation of this inverse is ...
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A review of convolutional neural network applied to fruit image processing
; Mora, Marco; ; Barrientos, Ricardo ; Fredes, Claudio ; (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 ...
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An exhaustive algorithm based on GPU to process a kNN query
; Barrientos, Ricardo; ; (2020)
The Nearest Neighbors search is a widely used technique with applications on several classification problems. Particularly, the k-nearest neighbor (kNN) algorithm is a well-known method used in modern information retrieval ...
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Automatic generation of synthetic palm vein images: a nature-based approach
; ; Barrientos, Ricardo; ; Mora, Marco ; (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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Classification of diseased and healthy apple leaves through extreme learning machines
; ; ; ; Barrientos, Ricardo (2022)
Diseases in agricultural crops are a risk for fruit productivity and quality. Chile is a fruit exporting country; that needs the development of technologies for diseases prevention and treatment. Farmers have been exploring ...
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CNN-based model for gender and age classification based on palm vein images
; ; Barrientos, Ricardo; ; ; (2022)
Automatically predicting gender and age group from biometrics traits is an essential and challenging task in many real-world applications. There are several works about using machine learning methods to identify human ...
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Computer mouse control using iris tracking: An accessible and cost-effective approach for people with mobility disabilities
; ; Barrientos, Ricardo (2023)
Over the years, technologies have made cameras and complex face-detection and eye-tracking systems available for computer and device uses. Due to various reasons, there are people with motor disabilities and limitations ...
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Dynamic PET image denoising
; ; Barrientos, Ricardo; Mora, Marco ; ; (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 ...
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Efficient exploitation of the Xeon Phi architecture for the Ant Colony Optimization (ACO) metaheuristic
; Barrientos, Ricardo; Mora, Marco ; (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 ...
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Evaluation of LBP-based descriptors for iris recognition based on learning vector quantization classifier under a multi-core platform
; ; Barrientos, Ricardo (2019)
In recent years, iris recognition techniques have focused the attention on the biometric area. Particularly, the performance of an iris recognition system depends on the representation of the texture of the images. In this ...
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Exhaustive similarity search on a many-core architecture for finger-vein massive identification
Barrientos, Ricardo; ; ; (2020)
In massive biometric identification systems, response times mainly depends on the database searching algorithms. Thus, in large databases, an increment in the simultaneous queries traffic becomes a critical factor. This ...
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Fast finger vein recognition based on sparse matching algorithm under a multicore platform for real-time individuals identification
; Barrientos, Ricardo; ; ; Mora, Marco ; ; (2019)
Nowadays, individual identification is a problem in many private companies, but also in governmental and public order entities. Currently, there are multiple biometric methods, each with different advantages. Finger vein ...
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Fast kNN query processing over a multi-node GPU environment
Barrientos, Ricardo; ; ; ; (2022)
The kNN (k nearest-neighbors) search is currently applied in a wide range of applications, such as data mining, multimedia, information retrieval, machine learning, pattern recognition, among others. Most of the solutions ...
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Fingerprint classification through standard and weighted extreme learning machines
; Mora, Marco; Barrientos, Ricardo ; ; (2020)
Fingerprint classification is a stage of biometric identification systems that aims to group fingerprints and reduce search times and computational complexity in the databases of fingerprints. The most recent works on this ...
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From synthetic data to real palm vein identification: a fine-tuning approach
; ; Barrientos, Ricardo; ; ; (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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Generating style-based palm vein synthetic images for the creation of large-scale datasets
; ; Barrientos, Ricardo; ; Mora, Marco ; (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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GPU tensor cores for fast arithmetic reductions
; ; Barrientos, Ricardo; ; (2021)
This article proposes a parallel algorithm for computing the arithmetic reduction of $n$ numbers as a set of matrix-multiply accumulate (MMA) operations that are executed simultaneously by GPU tensor cores. The analysis, ...
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GPU-based exhaustive algorithms processing kNN queries
Barrientos, Ricardo; ; ; (2017)
Efficient kNN search, or k-nearest neighbors search, is useful, among other fields, in multimedia information retrieval, data mining and pattern recognition problems. A distance function determines how similar the objects ...
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Heap-based Algorithms to Accelerate Fingerprint Matching on Parallel Platforms
Barrientos, Ricardo; ; ; ; (2019)
Nowadays, fingerprint is the most used biometric trait for individuals identification. In this area, the state-of-the-art algorithms are very accurate, but when the database contains millions of identities, an acceleration ...