Listar por autor 

Listar por autor

Mostrando publicaciones 21-40 de 54

  • Dynamic PET image denoising 

    González-Gutiérrez, Paulo; Alcaino-Jaque, Barbara E.; Barrientos, Ricardo ORCID; Mora, Marco ORCID; Tirado-Marabolí, Felipe; Tauber, Clovis (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 ...

  • Efficient exploitation of the Xeon Phi architecture for the Ant Colony Optimization (ACO) metaheuristic 

    Tirado-Marabolí, Felipe; Barrientos, Ricardo ORCID; Mora, Marco ORCID; González-Gutiérrez, Paulo (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 ...

  • Estimation of the optimal number of neurons in extreme learning machine using simulated annealing and the golden section 

    Gelvez-Almeida, Elkin; Mora, Marco ORCID; Huérfano-Maldonado, Y; Salazar-Jurado, Edwin; Martínez-Jeraldo, N; Lozada-Yavina, Rafael; Baldera-Moreno, Yvan; Tobar Valenzuela, Luis (2023)
    Extreme learning machine is a neural network algorithm widely accepted in the scientific community due to the simplicity of the model and its good results in classification and regression problems; digital image processing, ...

  • Extreme learning machine adapted to noise based on optimization algorithms 

    Vásquez, A.; Mora, Marco ORCID; Salazar, E.; Gelvez, E. (2020)
    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 ...

  • Extreme learning machines to combat phase noise in RoF-OFDM schemes 

    Zabala-Blanco, David; Mora, Marco ORCID; Azurdia-Meza, Cesar A.; Dehghan Firoozabadi, Ali (2019)
    Radio-over-fiber (RoF) orthogonal frequency division multiplexing (OFDM) systems have been revealed as the solution to support secure, cost-effective, and high-capacity wireless access for the future telecommunication ...

  • Fast finger vein recognition based on sparse matching algorithm under a multicore platform for real-time individuals identification 

    Hernández-García, Ruber; Barrientos, Ricardo ORCID; Rojas-Rojas, Cristofher A.; Soto Silva, Wladimir E.; Mora, Marco ORCID; Gonzalez, Paulo; Frati, Fernando Emmanuel (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 ...

  • Fast tuning of extreme learning machine neural networks based with simple optimization algorithms 

    Tobar Valenzuela, Luis; Mora, Marco ORCID; Silva Pavez, Fabián; Torres-Gonzalez, Italo; Barría-Valdebenito, Pedro (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 ...

  • Fingerprint classification through standard and weighted extreme learning machines 

    Zabala-Blanco, David; Mora, Marco ORCID; Barrientos, Ricardo ORCID; Hernández-García, Ruber; Naranjo-Torres, José (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 ...

  • Fingerprint classification with the extreme learning machine algorithm for multilayer perceptron 

    Zabala-Blanco, David; Quinteros, Axel; Mora, Marco ORCID; Hernández-García, Ruber; Flores-Calero, Marco (2022)
    Fingerprint classification comes to be a relevant guarantee for efficient as well as accurate fingerprint identification, in particular in the case of dealing with one-to-many fingerprint identification. Nevertheless, owing ...

  • Fruit-scan: system to automatically detect raspberry quality using computer vision techniques 

    Mora, Marco ORCID (2022)
    Chile ranks tenth among the countries that export raspberries. In the Maule Region there are approximately 1,200 families who obtain their economic livelihood based on raspberry production. Raspberry exporting companies ...

  • Generating style-based palm vein synthetic images for the creation of large-scale datasets 

    Salazar, E.; Hernández-García, Ruber; Barrientos, Ricardo ORCID; Vilches-Ponce, Karina; Mora, Marco ORCID; 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 ...

  • Grape maturity estimation based on seed images and neural networks 

    Zuñiga, Alex; Mora, Marco ORCID; Oyarce, Miguel; Fredes, Claudio ORCID (2014)
    The grape phenolic maturity is one of the most important parameters to determine the optimal time for harvest. In this paper we propose an innovative methodology for the problem of how this task is performed today. In ...

  • Heuristic parametrization of anisotropic diffusion filtering 

    González-Gutiérrez, Paulo; Vásquez, Philip; Alcaino-Jaque, Barbara E.; Barrientos, Ricardo ORCID; Mora, Marco ORCID; Tirado-Marabolí, Felipe; Tauber, Clovis (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 ...

  • Individuals identification based on palm vein matching under a parallel environment 

    Hernández-García, Ruber; Barrientos, Ricardo ORCID; Rojas-Rojas, Cristofher A.; Mora, Marco ORCID (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. ...

  • Iris recognition based on displacementinformation using a sparse matching technique 

    Iglesias, Philip; Hernández-García, Ruber; Barrientos, Ricardo ORCID; Goncalves, Emmanuel; Mora, Marco ORCID (2019)
    Iris recognition is one of the most promising fields in biometrics. During the image acquisition, images are affected by surrounding parts of the eye such as eyelids or eyelashes. Besides, deformations of the iris image ...

  • Laboratory of the Neuropsychology and Cognitive Neurosciences Research Center of Universidad Católica del Maule, Chile 

    Lucero-Mondaca, Boris; Saracini, Chiara; Muñoz-Quezada, María Teresa; Mendez‑Bustos, Pablo; Mora, Marco ORCID (2018)
    The Laboratory of the Neuropsychology and Cognitive Neurosciences Research Center (CINPSI Neurocog), located in the “Technological Park” building of the Catholic University of Maule (Universidad Católica del Maule, UCM) ...

  • Multilayer extreme learning machine as equalizer in OFDM-based radio-over-fiber systems 

    Zabala-Blanco, David; Mora, Marco ORCID; Azurdia-Meza, Cesar A.; Dehghan Firoozabadi, Ali; Palacios Játiva, Pablo; Montejo-Sánchez, Samuel (2021)
    Mobile/wireless networks aim to support diverse services with numerous and sophisticated requirements, such as energy efficiency, spectral efficiency, negligible latency, robustness against time and frequency selective ...

  • Multiplicative local binary patterns (MuLBP) 

    Mora, Marco ORCID; Silva-Ibarra, Marcelo; Acevedo-Letelier, Mónica E. (2019)
    Speckle is a multiplicative noise that greatly deteriorates images. In this paper a model of Local Binary Patterns (LBP) adapted to images with speckle (MuLBP) is proposed. The multiplicative model is constructed by ...

  • Neural networks ensemble for automatic DNA microarray spot classification 

    Rojas-Thomas, J.C; Mora, Marco ORCID; Santos-Peñas, Matilde (2019)
    In this work, a new step for the DNA microarray image analysis pipeline is proposed using neural computing techniques. We perform the classification of the spots into morphology-derived classes in order to assist the ...

  • New internal index for clustering validation based on graphs 

    Mora, Marco ORCID; Rojas-Thomas, J.C; Santos, M. (2017)
    This paper presents two different versions of a new internal index for clustering validation using graphs. These graphs capture the structural characteristics of each cluster. In this way, the new index overcomes the ...