JavaScript is disabled for your browser. Some features of this site may not work without it.

    Listar

    Todo RIUMAComunidades & ColeccionesPor fecha de publicaciónAutoresTítulosMateriasTipo de publicaciónCentros

    Mi cuenta

    AccederRegistro

    Estadísticas

    Ver Estadísticas de uso

    DE INTERÉS

    Datos de investigaciónReglamento de ciencia abierta de la UMAPolítica de RIUMAPolitica de datos de investigación en RIUMASHERPA/RoMEODulcinea
    Preguntas frecuentesManual de usoDerechos de autorContacto/Sugerencias
    Listar por autor 
    •   RIUMA Principal
    • Listar por autor
    •   RIUMA Principal
    • Listar por autor

    Listar por autor "Dominguez, Enrique"

    • 0-9
    • A
    • B
    • C
    • D
    • E
    • F
    • G
    • H
    • I
    • J
    • K
    • L
    • M
    • N
    • O
    • P
    • Q
    • R
    • S
    • T
    • U
    • V
    • W
    • X
    • Y
    • Z

    Ordenar por:

    Orden:

    Resultados:

    Mostrando ítems 1-12 de 12

    • título
    • fecha de publicación
    • fecha de envío
    • ascendente
    • descendente
    • 5
    • 10
    • 20
    • 40
    • 60
    • 80
    • 100
      • 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, EzequielAutoridad Universidad de Málaga; Luque-Baena, Rafael MarcosAutoridad Universidad de Málaga; Domínguez, Enrique; Palomo, 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 AngelAutoridad Universidad de Málaga; 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 ...
      • Enhanced transfer learning model by image shifting on a square lattice for skin lesion malignancy assessment 

        Molina-Cabello, Miguel AngelAutoridad Universidad de Málaga; Thurnhofer Hemsi, Karl; Maza Quiroga, Rosa María; Domínguez, Enrique; López-Rubio, EzequielAutoridad Universidad de Málaga; Molina-Cabello, Miguel AngelAutoridad Universidad de Málaga[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 AngelAutoridad Universidad de Málaga; Thurnhofer-Hemsi, Karl; Domínguez, Enrique; López-Rubio, EzequielAutoridad Universidad de Málaga; Palomo, 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 AngelAutoridad Universidad de Málaga; López-Rubio, EzequielAutoridad Universidad de Málaga; Luque-Baena, Rafael MarcosAutoridad Universidad de Málaga; 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, ...
      • Panoramic Background Modeling for PTZ Cameras with Competitive Learning Neural Networks 

        Thurnhofer-Hemsi, Karl; López-Rubio, EzequielAutoridad Universidad de Málaga; Domínguez, Enrique; Luque-Baena, Rafael MarcosAutoridad Universidad de Málaga; Molina-Cabello, Miguel AngelAutoridad Universidad de Málaga (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 AngelAutoridad Universidad de Málaga; Palomo, Esteban José; López-Rubio, EzequielAutoridad Universidad de Málaga; 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 AngelAutoridad Universidad de Málaga; López-Rubio, EzequielAutoridad Universidad de Málaga; Luque-Baena, Rafael MarcosAutoridad Universidad de Málaga; Domínguez, Enrique; Palomo, 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, EzequielAutoridad Universidad de Málaga; 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 MarcosAutoridad Universidad de Málaga; López-Rubio, EzequielAutoridad Universidad de Málaga; 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 ...
        REPOSITORIO INSTITUCIONAL UNIVERSIDAD DE MÁLAGA
        REPOSITORIO INSTITUCIONAL UNIVERSIDAD DE MÁLAGA
         

         

        REPOSITORIO INSTITUCIONAL UNIVERSIDAD DE MÁLAGA
        REPOSITORIO INSTITUCIONAL UNIVERSIDAD DE MÁLAGA