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    <title>DSpace Comunidad:</title>
    <link>http://hdl.handle.net/10045/17291</link>
    <description />
    <pubDate>Thu, 20 Jun 2013 02:09:45 GMT</pubDate>
    <dc:date>2013-06-20T02:09:45Z</dc:date>
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      <link>http://hdl.handle.net/10045/17291</link>
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      <title>Representation of 2D objects with a topology preserving network</title>
      <link>http://hdl.handle.net/10045/27279</link>
      <description>Título: Representation of 2D objects with a topology preserving network
Autor/es: Flórez Revuelta, Francisco; García Chamizo, Juan Manuel; García Rodríguez, José; Hernández Sáez, Antonio
Resumen: We propose the use of a self-organizing neural network, the Growing Neural Gas, to represent bidimensional objects, due to its quality of topology preservation. As a result of an adaptative process, the object is represented by a Topology Preserving Graph, that constitutes an induced Delaunay Triangulation of their shapes. Features that are extracted from this graph simplify the later operations of classification and recognition, avoiding the high complexity of comparisons between graphs. This model of object characterization allows refining the quality of the representation based on the time available to its calculation, so that it will be the basis for the design of high performance real-time vision architectures. This work opens a new research field, because it employs the topology of a self-organizing neural network as feature, not, as usual, as a classifier.
Descripción: Comunicación presentada en el 2nd International Workshop on Pattern Recognition in Information Systems, Alicante, April, 2002.</description>
      <pubDate>Mon, 01 Apr 2002 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">http://hdl.handle.net/10045/27279</guid>
      <dc:date>2002-04-01T00:00:00Z</dc:date>
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      <title>Hand gesture recognition based on morphologic features</title>
      <link>http://hdl.handle.net/10045/27278</link>
      <description>Título: Hand gesture recognition based on morphologic features
Autor/es: Flórez  Revuelta, Francisco; García Chamizo, Juan Manuel; Ibarra Picó, Francisco
Resumen: In this paper, we try to characterize the hand posture by means of the morpho-logic coefficient, measure that allows to determine its morphology, in order to later perform its classification by means of an artificial neural network model, the Growing Cell Structure. The monitoring of the neurons that are activated for the successive postures that the hand takes throughout the time allows us to determine the gesture that is being made. Finally, we present the results of experiments with a vocabulary of 7 gestures, in order to verify the efficiency of this method of classification and extraction of characteristics.
Descripción: Comunicación presentada en el IX Simposium Nacional de Reconocimiento de Formas y Análisis de Imágenes, Benicàssim, Mayo, 2001.</description>
      <pubDate>Tue, 01 May 2001 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">http://hdl.handle.net/10045/27278</guid>
      <dc:date>2001-05-01T00:00:00Z</dc:date>
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      <title>Sistema de climatización por suelo radiante coalimentado por energías renovables</title>
      <link>http://hdl.handle.net/10045/25765</link>
      <description>Título: Sistema de climatización por suelo radiante coalimentado por energías renovables
Autor/es: Valdivieso Sarabia, Rafael Jesús; García Chamizo, Juan Manuel; Ferrández Pastor, Francisco Javier; Flórez Revuelta, Francisco
Resumen: Se presenta el sistema de climatización basado en suelo radiante coalimentado por fuentes de energía renovables, que es capaz de proporcionar calor o frío. Se ha modelado una instalación genérica, que ha sido particularizada e integrada en una vivienda-laboratorio de unos 54m2. El sistema está compuesto por placas termo-solares, calentador eléctrico, bomba de calor aire-agua, acumuladores, circuito de suelo radiante y fancoil. El sistema de control está basado en un autómata que integra sensores y actuadores de diversas tecnologías que permiten monitorizar el sistema, visualizar y gestionar la instalación de forma remota y realizar un control minimizando el gasto energético. El sistema de control es reactivo en tiempo real por lo que cada vez que sucede algún cambio en el entorno se desencadenas las acciones oportunas.</description>
      <pubDate>Fri, 01 Jan 2010 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">http://hdl.handle.net/10045/25765</guid>
      <dc:date>2010-01-01T00:00:00Z</dc:date>
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      <title>DAI Virtual Lab</title>
      <link>http://hdl.handle.net/10045/22879</link>
      <description>Título: DAI Virtual Lab
Autor/es: Grupo de Domótica y Ambientes Inteligentes</description>
      <pubDate>Wed, 13 Jun 2012 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">http://hdl.handle.net/10045/22879</guid>
      <dc:date>2012-06-13T00:00:00Z</dc:date>
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