{"id":110941,"date":"2018-03-11T10:37:15","date_gmt":"2018-03-11T10:37:15","guid":{"rendered":"https:\/\/www.deberes.net\/tesis\/sin-categoria\/learning-effcient-image-representations-connections-between-statistics-and-neuroscience\/"},"modified":"2018-03-11T10:37:15","modified_gmt":"2018-03-11T10:37:15","slug":"learning-effcient-image-representations-connections-between-statistics-and-neuroscience","status":"publish","type":"post","link":"https:\/\/www.deberes.net\/tesis\/neurociencias\/learning-effcient-image-representations-connections-between-statistics-and-neuroscience\/","title":{"rendered":"Learning effcient image representations: connections between statistics and neuroscience"},"content":{"rendered":"<h2>Tesis doctoral de <strong> Valero Laparra Perez-muelas <\/strong><\/h2>\n<p>Esta tesis resume diferentes trabajos realizados bajo el marco de el an\u00e1lisis de las relaciones entre el procesado de im\u00e1genes, la estad\u00edstica y la neurociencia. Estas relaciones son analizadas desde el punto de vista de la hip\u00f3tesis de la codificaci\u00f3n eficiente, [barlow61] y [attneave54]. dicha hip\u00f3tesis sugiere que el sistema visual humano se ha ido adaptando durante los a\u00f1os para poder procesar la informaci\u00f3n visual de forma eficiente, es decir, para aprovechar las regularidades estad\u00edsticas del mundo visual. Con esta idea de fondo se han realizado trabajos en diferentes direcciones.  una direcci\u00f3n ha sido analizar las propiedades estad\u00edsticas del sistema visual humano. Para ello se ha usado un modelo cl\u00e1sico el cual se ha revisado, extendido y ajustado. N\u00f3tese que el modelo no hace uso de la estad\u00edstica en ning\u00fan momento. Los resultados muestran que este modelo obtiene una representaci\u00f3n con buenas propiedades estad\u00edsticas para las im\u00e1genes naturales, lo cual es una nueva evidencia en favor de la hip\u00f3tesis de la codificaci\u00f3n eficiente.   desde el punto de vista estad\u00edstico, se han propuesto diferentes m\u00e9todos y se han optimizado utilizando datos de im\u00e1genes naturales. Estos modelos estad\u00edsticos aprenden un comportamiento similar al del sistema visual humano, tanto en las dimensiones espaciales como en las dimensiones de color.   esto tambi\u00e9n supone una evidencia en favor de la hip\u00f3tesis de la codificaci\u00f3n eficiente. Una parte importante de la tesis es el empleo de estos m\u00e9todos, tanto los estad\u00edsticos como los basados en neurociencia, para desarrollar distintas aplicaciones de procesado de im\u00e1genes. Por ejemplo, en aplicaciones de restauraci\u00f3n, clasificaci\u00f3n, s\u00edntesis y calidad de imagen se obtienen resultados similares a algunos de los mejores m\u00e9todos actuales.<\/p>\n<p>&nbsp;<\/p>\n<h3>Datos acad\u00e9micos de la tesis doctoral \u00ab<strong>Learning effcient image representations: connections between statistics and neuroscience<\/strong>\u00ab<\/h3>\n<ul>\n<li><strong>T\u00edtulo de la tesis:<\/strong>\u00a0 Learning effcient image representations: connections between statistics and neuroscience <\/li>\n<li><strong>Autor:<\/strong>\u00a0 Valero Laparra Perez-muelas <\/li>\n<li><strong>Universidad:<\/strong>\u00a0 Universitat de val\u00e9ncia (estudi general)<\/li>\n<li><strong>Fecha de lectura de la tesis:<\/strong>\u00a0 19\/09\/2011<\/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>Gustavo Camps Valls<\/li>\n<\/ul>\n<\/li>\n<li><strong>Tribunal<\/strong>\n<ul>\n<li>Presidente del tribunal: Francisco javier Portilla muelas <\/li>\n<li>michael Gutmann (vocal)<\/li>\n<li>Mar\u00eda Vanrell martorell (vocal)<\/li>\n<li>thrasyvoulos n. Pappas (vocal)<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Tesis doctoral de Valero Laparra Perez-muelas Esta tesis resume diferentes trabajos realizados bajo el marco de el an\u00e1lisis de las [&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 center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""}},"footnotes":""},"categories":[4275],"tags":[105883,58289,46538,221250,221251,221249],"class_list":["post-110941","post","type-post","status-publish","format-standard","hentry","category-neurociencias","tag-francisco-javier-portilla-muelas","tag-gustavo-camps-valls","tag-maria-vanrell-martorell","tag-michael-gutmann","tag-thrasyvoulos-n-pappas","tag-valero-laparra-perez-muelas"],"_links":{"self":[{"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/posts\/110941","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/comments?post=110941"}],"version-history":[{"count":0,"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/posts\/110941\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/media?parent=110941"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/categories?post=110941"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/tags?post=110941"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}