Listar por autor "Castellanos Domínguez, César Germán"

Mostrando documentos 21-27 de 27

    • Reducción de espacios de entrenamiento de hmms empleando dpca 

      Carvajal González, Johanna Paola; Sarria Paja, Milton Orlando; Orozco Gutiérrez, Álvaro Ángel; Castellanos Domínguez, César Germán
      Se desarrolla una metodología de reducción de espacios de entrenamiento, basado en la extracción dinámica de características, para obtener un mayor desempeño en un sistema de clasificación con un costo computacional bajo, ...
      Universidad Nacional de Colombia Revistas electrónicas UN Avances en Sistemas e Informática. 

    • Relevant multichannel time series representation based on functional measures in RKHS 

      Pulgarín Giraldo, Juan Diego
      Kernels methods provide a powerful and unifying framework to solve nonlinear problems while retaining in many cases, the simplicity of linear solutions. However, in machine learning and kernels methods, data is assumed to ...

    • Smart agriculture framework from imagery based on representation learning 

      García Murillo, Daniel Guillermo
      Nowadays, with the increasing need for food due to the high population, there are needed new alternatives in agriculture that avoid yield losses, while augmenting food security. Smart agriculture arises as a solution that ...
      Universidad Nacional de Colombia Sede Manizales Facultad de Ingeniería y Arquitectura Departamento de Ingeniería Eléctrica, Electrónica y Computación. 

    • Supervised group connectivity analysis for enhancing the interpretability of brain activity 

      Padilla Buriticá, Jorge Iván
      En este documento se presenta una metodología de análisis de conectividad cerebral, en la cual deben abordarse tres problemas principales, el primer problema para superar es el comportamiento no estacionario de la actividad ...

    • Time series analysis using information measures supporting supervised learning tasks 

      Luna-Naranjo, David Felipe
      The brain-computer interfaces provide an alternative control of the devices through the activity of the human brain. The selection of channels as a stage for the development of BCI systems allows to evaluate the important ...

    • Time-series representation framework based on multi-instance similarity measures 

      Caicedo Acosta, Julian Camilo
      Time series analysis plays an essential role in today’s society due to the ease of access to information. This analysis is present in the majority of applications that involve sensors, but in recent years thanks to ...
      Universidad Nacional de Colombia Sede Manizales Facultad de Ingeniería y Arquitectura Departamento de Ingeniería Eléctrica, Electrónica y Computación. 

    • Weighted time series analysis for electroencephalographic source localization 

      Giraldo Suárez, Eduardo; Castellanos Domínguez, César Germán; Peluffo Ordoñez, Diego Hernán
      This paper presents a new method to estimate neural activity from electroencephalographic signals using a weighted time series analysis. The method considers a physiologically based linear model that takes both spatial and ...
      Universidad Nacional de Colombia Revistas electrónicas UN Dyna.