{"id":61173,"date":"2018-03-09T22:49:03","date_gmt":"2018-03-09T22:49:03","guid":{"rendered":"https:\/\/www.deberes.net\/tesis\/sin-categoria\/extraccion-de-caracteristicas-mediante-criterios-basados-en-teoria-de-la-informacion\/"},"modified":"2018-03-09T22:49:03","modified_gmt":"2018-03-09T22:49:03","slug":"extraccion-de-caracteristicas-mediante-criterios-basados-en-teoria-de-la-informacion","status":"publish","type":"post","link":"https:\/\/www.deberes.net\/tesis\/tecnologia-de-las-telecomunicaciones\/extraccion-de-caracteristicas-mediante-criterios-basados-en-teoria-de-la-informacion\/","title":{"rendered":"Extraccion de caracteristicas mediante criterios basados en teoria de la informacion"},"content":{"rendered":"<h2>Tesis doctoral de <strong> Jos\u00e9 Miguel Leiva Murillo <\/strong><\/h2>\n<p>En esta tesis se desarrollan nuevas t\u00e9cnicas de extracci\u00f3n lineal de caracter\u00edsticas para clasificaci\u00f3n, mediante criterios basados en teor\u00eda de la informaci\u00f3n. Se exploran dos aproximaciones distintas. La primera de ellas est\u00e1 basada en funciones de contraste que aproximan la informaci\u00f3n mutua entre las proyecciones obtenidas y las clases. En la segunda, se plantea un criterio de maximizaci\u00f3n del test de hip\u00f3tesis que se toma como regla de clasificaci\u00f3n.  la aproximaci\u00f3n basada en funciones de contraste hace uso de una estimaci\u00f3n de la informaci\u00f3n mutua que elude el problema del modelado de la funci\u00f3n densidad de probabilidad (fdp) de los datos. Al ser estas funciones derivables, es posible su optimizaci\u00f3n mediante ascenso por  gradiente.  el m\u00e9todo basado en la maximizaci\u00f3n del test de hip\u00f3tesis requiere el modelado previo de la fdp de los datos, mediante ventanas de parzen. En primer lugar, se propone un m\u00e9todo para optimizar el ancho de las ventanas de los modelos. Una vez optimizados \u00e9stos, se propone su utilizaci\u00f3n en extracci\u00f3n de caracter\u00edsticas, mediante la maximizaci\u00f3n del test evaluado sobre los datos de entrenamiento. En la tesis tambi\u00e9n se propone la aplicaci\u00f3n de estos modelos a an\u00e1lisis de componentes independientes y clasificaci\u00f3n de parzen.<\/p>\n<p>&nbsp;<\/p>\n<h3>Datos acad\u00e9micos de la tesis doctoral \u00ab<strong>Extraccion de caracteristicas mediante criterios basados en teoria de la informacion<\/strong>\u00ab<\/h3>\n<ul>\n<li><strong>T\u00edtulo de la tesis:<\/strong>\u00a0 Extraccion de caracteristicas mediante criterios basados en teoria de la informacion <\/li>\n<li><strong>Autor:<\/strong>\u00a0 Jos\u00e9 Miguel Leiva Murillo <\/li>\n<li><strong>Universidad:<\/strong>\u00a0 Carlos III de Madrid<\/li>\n<li><strong>Fecha de lectura de la tesis:<\/strong>\u00a0 31\/10\/2007<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<h3>Direcci\u00f3n y tribunal<\/h3>\n<ul>\n<li><strong>Director de la tesis<\/strong>\n<ul>\n<li>Antonio Artes Rodriguez<\/li>\n<\/ul>\n<\/li>\n<li><strong>Tribunal<\/strong>\n<ul>\n<li>Presidente del tribunal: Juan  Ram\u00f3n Vidal Roman\u00ed <\/li>\n<li>Luis Castedo Ribas (vocal)<\/li>\n<li> Dorronsoro Ibero Jos\u00e9 Ramon (vocal)<\/li>\n<li>Luis Ignacio Santamar\u00eda Caballero (vocal)<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Tesis doctoral de Jos\u00e9 Miguel Leiva Murillo En esta tesis se desarrollan nuevas t\u00e9cnicas de extracci\u00f3n lineal de caracter\u00edsticas para [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center 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