{"version":"1.0","provider_name":"Learning and NonLinear Models","provider_url":"https:\/\/sbia.org.br\/lnlm","author_name":"sbicbr","author_url":"https:\/\/sbia.org.br\/lnlm\/author\/sbicbr\/","title":"Soft Biometrics Classication in Videos Using Transfer Learning and Bidirectional Long Short-Term Memory Networks - Learning and NonLinear Models","type":"rich","width":600,"height":338,"html":"<blockquote class=\"wp-embedded-content\" data-secret=\"lYYZTFKkaW\"><a href=\"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol18-no1\/vol18-no1-art4\/\">Soft Biometrics Classication in Videos Using Transfer Learning and Bidirectional Long Short-Term Memory Networks<\/a><\/blockquote><iframe sandbox=\"allow-scripts\" security=\"restricted\" src=\"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol18-no1\/vol18-no1-art4\/embed\/#?secret=lYYZTFKkaW\" width=\"600\" height=\"338\" title=\"&#8220;Soft Biometrics Classication in Videos Using Transfer Learning and Bidirectional Long Short-Term Memory Networks&#8221; &#8212; Learning and NonLinear Models\" data-secret=\"lYYZTFKkaW\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\" class=\"wp-embedded-content\"><\/iframe><script type=\"text\/javascript\">\n\/* <![CDATA[ *\/\n\/*! This file is auto-generated *\/\n!function(d,l){\"use strict\";l.querySelector&&d.addEventListener&&\"undefined\"!=typeof URL&&(d.wp=d.wp||{},d.wp.receiveEmbedMessage||(d.wp.receiveEmbedMessage=function(e){var t=e.data;if((t||t.secret||t.message||t.value)&&!\/[^a-zA-Z0-9]\/.test(t.secret)){for(var s,r,n,a=l.querySelectorAll('iframe[data-secret=\"'+t.secret+'\"]'),o=l.querySelectorAll('blockquote[data-secret=\"'+t.secret+'\"]'),c=new RegExp(\"^https?:$\",\"i\"),i=0;i<o.length;i++)o[i].style.display=\"none\";for(i=0;i<a.length;i++)s=a[i],e.source===s.contentWindow&&(s.removeAttribute(\"style\"),\"height\"===t.message?(1e3<(r=parseInt(t.value,10))?r=1e3:~~r<200&&(r=200),s.height=r):\"link\"===t.message&&(r=new URL(s.getAttribute(\"src\")),n=new URL(t.value),c.test(n.protocol))&&n.host===r.host&&l.activeElement===s&&(d.top.location.href=t.value))}},d.addEventListener(\"message\",d.wp.receiveEmbedMessage,!1),l.addEventListener(\"DOMContentLoaded\",function(){for(var e,t,s=l.querySelectorAll(\"iframe.wp-embedded-content\"),r=0;r<s.length;r++)(t=(e=s[r]).getAttribute(\"data-secret\"))||(t=Math.random().toString(36).substring(2,12),e.src+=\"#?secret=\"+t,e.setAttribute(\"data-secret\",t)),e.contentWindow.postMessage({message:\"ready\",secret:t},\"*\")},!1)))}(window,document);\n\/\/# sourceURL=https:\/\/sbia.org.br\/lnlm\/wp-includes\/js\/wp-embed.min.js\n\/* ]]> *\/\n<\/script>\n","description":"Romero, M., Gutoski, M.,\u00a0Hattori, L.T.,\u00a0Ribeiro, M.,\u00a0Lopes, H.S. Abstract:\u00a0Soft biometrics attributes can be useful to perform identification of individuals, since they provide information that can be used to differentiate one individual from another without intrusiveness. Moreover, the large number of surveillance Read More ...","thumbnail_url":"https:\/\/sbia.org.br\/lnlm\/wp-content\/uploads\/sites\/4\/2020\/09\/orcid.jpg"}