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Listar por autor "Domínguez, Enrique"
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A Genetic Algorithm for solving the Discrete Ordered Median Problem with Induced Order
Domínguez, Enrique (2017-07-18)The Discrete Ordered Median Problem with Induced Ordered (DOMP+IO) is a multi-facility version of the classical discrete ordered median problem (DOMP), which has been widely studied. Several exact methods have been ... -
Color Space Selection for Self-Organizing Map Based Foreground Detection in Video Sequences
López-Rubio, Francisco Javier; López-Rubio, Ezequiel; Luque-Baena, Rafael Marcos
; Domínguez, Enrique; Palomo-Ferrer, Esteban José
(2014-07-18)
The selection of the best color space is a fundamental task in detecting foreground objects on scenes. In many situations, especially on dynamic backgrounds, neither grayscale nor RGB color spaces represent the best solution ... -
Comparación de marcos de trabajo de Aprendizaje Profundo para la detección de objetos
Benito-Picazo, Jesús; Thurnhofer Hemsi, Karl; Molina-Cabello, Miguel Ángel; Domínguez, Enrique (2018-11-08)
Muchas aplicaciones en visión por computador necesitan de sistemas de detección precisos y eficientes. Esta demanda coincide con el auge de la aplicación de técnicas de aprendizaje profundo en casi todos las áreas del ... -
Deep learning-based super-resolution of 3D magnetic resonance images by regularly spaced shifting
Thurnhofer-Hemsi, Karl; López-Rubio, Ezequiel; Domínguez, Enrique; Luque-Baena, Rafael Marcos
; Roé-Vellvé, Núria (Elsevier, 2020-07-20)
The image acquisition process in the field of magnetic resonance imaging (MRI) does not always provide high resolution results that may be useful for a clinical analysis. Super-resolution (SR) techniques manage to increase ... -
Enhanced transfer learning model by image shifting on a square lattice for skin lesion malignancy assessment
Molina-Cabello, Miguel Ángel; Thurnhofer Hemsi, Karl; Maza Quiroga, Rosa María; Domínguez, Enrique; López-Rubio, Ezequiel
; Molina-Cabello, Miguel Ángel
[et al.] (2021)
Skin cancer is one of the most prevalent diseases among people. Physicians have a challenge every time they have to determine whether a diseased skin is benign or malign. There exist clinical diagnosis methods (such as ... -
Longitudinal study of the learning styles evolution in Engineering degrees
Molina-Cabello, Miguel Ángel; Thurnhofer-Hemsi, Karl; Domínguez, Enrique; López-Rubio, Ezequiel
; Palomo-Ferrer, Esteban José
(2021)
A learning style describes what are the predominant skills for learning tasks. In the context of university education, knowing the learning styles of the students constitutes a great opportunity to improve both teaching ... -
Neural Controller for PTZ cameras based on nonpanoramic foreground detection
Molina-Cabello, Miguel Ángel; López-Rubio, Ezequiel
; Luque-Baena, Rafael Marcos
; Domínguez, Enrique; Thurnhofer-Hemsi, Karl (2017-05-29)
Abstract—In this paper a controller for PTZ cameras based on an unsupervised neural network model is presented. It takes advantage of the foreground mask generated by a nonparametric foreground detection subsystem. Thus, ... -
Panorama Construction for PTZ Camera Surveillance with the Neural Gas network
Thurnhofer-Hemsi, Karl; López-Rubio, Ezequiel; Domínguez, Enrique; Luque-Baena, Rafael Marcos
; Molina-Cabello, Miguel Ángel
(Wiley, 2018-04)
The construction of a model of the background of a scene still remains as a challenging task in video surveillance systems, in particular for moving cameras. This work presents a novel approach for constructing a panoramic ... -
Panoramic Background Modeling for PTZ Cameras with Competitive Learning Neural Networks
Thurnhofer-Hemsi, Karl; López-Rubio, Ezequiel; Domínguez, Enrique; Luque-Baena, Rafael Marcos
; Molina-Cabello, Miguel Ángel
(2017-05-29)
The construction of a model of the background of a scene still remains as a challenging task in video surveillance systems, in particular for moving cameras. This work presents a novel approach for constructing a panoramic ... -
Peer assessments in Engineering: A pilot project
Thurnhofer-Hemsi, Karl; Molina-Cabello, Miguel Ángel; Palomo-Ferrer, Esteban José
; López-Rubio, Ezequiel
; Domínguez, Enrique (2021)
The evaluation methods employed in a course are the most important point for the students, above any other learning aspect. For teachers, this task is arduous when the number of students is high. Traditional evaluation ... -
Pixel Features for Self-organizing Map Based Detection of Foreground Objects in Dynamic Environments
Molina-Cabello, Miguel Ángel; López-Rubio, Ezequiel
; Luque-Baena, Rafael Marcos
; Domínguez, Enrique; Palomo-Ferrer, Esteban José
Among current foreground detection algorithms for video sequences, methods based on self-organizing maps are obtaining a greater relevance. In this work we propose a probabilistic self-organising map based model, which ... -
Skin lesion classification by ensembles of deep convolutional networks and regularly spaced shifting
Thurnhofer Hemsi, Karl; López-Rubio, Ezequiel; Domínguez, Enrique; Elizondo Acuña, David Alberto (2021)
Skin lesions are caused due to multiple factors, like allergies, infections, exposition to the sun, etc. These skin diseases have become a challenge in medical diagnosis due to visual similarities, where image classification ... -
Solving the quadratic assignment problem by neural networks
Domínguez, Enrique (2013-10-30)The Quadratic Assignment Problem (QAP) was introduced by Koopmans and Beckmann in 1957 as a mathematical model for the location of a set of indivisible economical activities. This problem consists of allocating a set of ... -
Vehicle overtaking hazard detection over onboard cameras using deep convolutional networks
García-González, Jorge; García Aguilar, Iván; Medina, Daniel; Luque-Baena, Rafael Marcos; López-Rubio, Ezequiel
; Domínguez, Enrique[et al.] (2022)
The development of artificial vision systems to support driving has been of great interest in recent years, especially after new learning models based on deep learning. In this work, a framework is proposed for detecting ...