%0 Journal Article
%T A New Classifier for Facial Expression Recognition: Fuzzy Buried Markov Model
%A Yong-Zhao Zhan
%A Ke-Yang Cheng
%A Ya-Bi Chen
%A Chuan-Jun Wen
%A <br>詹永照
%A 成科扬
%A 陈亚必
%A 文传军
%J 计算机科学技术学报
%D 2010
%I 
%X To overcome the disadvantage of classical recognition model that cannot perform well enough when there are some noises or lost frames in expression image sequences, a novel model called fuzzy buried Markov model (FBMM) is presented in this paper. FBMM relaxes conditional independence assumptions for classical hidden Markov model (HMM) by adding the specific cross-observation dependencies between observation elements. Compared with buried Markov model (BMM), FBMM utilizes cloud distribution to replace probab...
%K facial expression recognition
%K fuzzy buried Markov model
%K specific cross-observation dependency
%K cloud distri- bution
%K maximum mutual information<br>
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=F57FEF5FAEE544283F43708D560ABF1B&aid=766C1B80EDB95576A0230E70AACF0C9A&yid=140ECF96957D60B2&vid=C5154311167311FE&iid=38B194292C032A66&sid=9A596D09E9486F3E&eid=7C13E30F5EDBE7AB&journal_id=1000-9000&journal_name=计算机科学技术学报&referenced_num=1&reference_num=18