1.0Learning and NonLinear Modelshttps://sbia.org.br/lnlmsbicbrhttps://sbia.org.br/lnlm/author/sbicbr/rich600338<blockquote class="wp-embedded-content" data-secret="spvfYyXn9K"><a href="https://sbia.org.br/lnlm/publicacoes/vol17-no2/vol17-no2-art1/">A face recognition framework using self-adaptive differential evolution</a></blockquote><iframe sandbox="allow-scripts" security="restricted" src="https://sbia.org.br/lnlm/publicacoes/vol17-no2/vol17-no2-art1/embed/#?secret=spvfYyXn9K" width="600" height="338" title="“A face recognition framework using self-adaptive differential evolution” — Learning and NonLinear Models" data-secret="spvfYyXn9K" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"></iframe><script type="text/javascript"> /* <![CDATA[ */ /*! This file is auto-generated */ !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); //# sourceURL=https://sbia.org.br/lnlm/wp-includes/js/wp-embed.min.js /* ]]> */ </script> Plichoski, G.F. , Chidambaram, C. , Parpinelli, R.S.  Abstract: It is well known that the development of face recognition (FR) systems is challenging under uncontrolled conditions often related to the variation of pose, illumination, expression, and occlusion. Also, to collect the Read More ...https://sbia.org.br/lnlm/wp-content/uploads/sites/4/2019/11/orcid-2.jpg