{"product_id":"passive-and-active-sample-selection-and-variance-discriminant-analysis-von-yu-wei","title":"Passive and Active Sample Selection and Variance Discriminant Analysis","description":"\u003cp\u003eAmong the many existing categories of face de- tection algorithms, the sample-based method is one  of the most widely-used approaches. The essence of  the sample-based method is to solve a two-class classification problem of face versus non-face. Many  classification algorithms such as the Naive  Bayesian, Neural Network and Support Vector Machines (SVM) have been used for this purpose. This thesis  showcases a research study into face detection  technologies. It has two main parts. Firstly, in the  sample preparation section, new passive sample  selection and active sample generation algorithms  are proposed to assist existing sample-based  algorithms in solving the problem of face detection.  Secondly, in the classification section, a new  Bayesian-based classification method is proposed for  face detection.\u003c\/p\u003e\u003cdiv class=\"aw-variant-hidden-subtitle-div\" id=\"aw-variant-subtitle-9783844392746\"\u003e\u003ch3\u003eFor Sample-based Face Detection\u003c\/h3\u003e\u003c\/div\u003e","brand":"Autorenwelt Shop","offers":[{"title":"Softcover - 9783844392746","offer_id":39471236874333,"sku":"9783844392746","price":68.0,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0940\/0622\/files\/3cdfdfa6-316c-4050-a449-fffd3b3fec54.jpg?v=1758948578","url":"https:\/\/shop.autorenwelt.de\/products\/passive-and-active-sample-selection-and-variance-discriminant-analysis-von-yu-wei","provider":"Autorenwelt Shop","version":"1.0","type":"link"}