{"id":55051,"date":"2018-03-09T22:42:47","date_gmt":"2018-03-09T22:42:47","guid":{"rendered":"https:\/\/www.deberes.net\/tesis\/sin-categoria\/linear-combination-of-multiresolution-descriptors-application-to-graphics-recognition\/"},"modified":"2018-03-09T22:42:47","modified_gmt":"2018-03-09T22:42:47","slug":"linear-combination-of-multiresolution-descriptors-application-to-graphics-recognition","status":"publish","type":"post","link":"https:\/\/www.deberes.net\/tesis\/vision-artificial\/linear-combination-of-multiresolution-descriptors-application-to-graphics-recognition\/","title":{"rendered":"Linear combination of multiresolution descriptors: application to graphics recognition"},"content":{"rendered":"<h2>Tesis doctoral de <strong> Oriol Ramos Terrades <\/strong><\/h2>\n<p>In the field of document analysis we would like to be able to automatically process any kind of digital document. This is a challenger problem that has motivated different lines of research in the field of document analysis at different levels. we have focused on the shape description and also on classifier fusion, to apply them to one of the application fields in the document analysis: the graphics recognition. In shape recognition, many applications have to face the problem of describing a large number of complex shapes for recognition or retrieval in large databases. One of the key issues is the design of highly discriminant shape descriptors. Unfortunately, one kind of descriptor is not usually enough to achieve satisfactory results and hence, we have to combine the information from different sources to improve the global performance of the recognition system. these theoretical approaches have been evaluated through  an experimental evaluation in ridgelets descriptors, classifier fusion and applying the classifier fusion methods to ridgelets descriptors, obtaining quite satisfying results.<\/p>\n<p>&nbsp;<\/p>\n<h3>Datos acad\u00e9micos de la tesis doctoral \u00ab<strong>Linear combination of multiresolution descriptors: application to graphics recognition<\/strong>\u00ab<\/h3>\n<ul>\n<li><strong>T\u00edtulo de la tesis:<\/strong>\u00a0 Linear combination of multiresolution descriptors: application to graphics recognition <\/li>\n<li><strong>Autor:<\/strong>\u00a0 Oriol Ramos Terrades <\/li>\n<li><strong>Universidad:<\/strong>\u00a0 Aut\u00f3noma de barcelona<\/li>\n<li><strong>Fecha de lectura de la tesis:<\/strong>\u00a0 17\/10\/2006<\/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>Ernest Valveny Llobet<\/li>\n<\/ul>\n<\/li>\n<li><strong>Tribunal<\/strong>\n<ul>\n<li>Presidente del tribunal: jos\u00e9 Villanueva Juan <\/li>\n<li>alfons Juan (vocal)<\/li>\n<li>nicole Vincent (vocal)<\/li>\n<li>kamel Smaili (vocal)<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Tesis doctoral de Oriol Ramos Terrades In the field of document analysis we would like to be able to automatically [&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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