%0 Journal Article %T Evaluation method for capability of sub-pattern in two-dimensional Fisher linear discriminant
二维Fisher线性判别中子模式性能的一种评价方法* %A YUAN Wei-qi %A GUO Wei-fang %A
苑玮琦 %A 郭伟芳 %J 计算机应用研究 %D 2009 %I %X In order to overcome the problem that the traditional sub-pattern choosing method in the two-dimensional fisher linear discriminant(2DFLD) algorithm cost huge computation amount and was time-consuming, a method, based on the two main factors influencing the 2DFLD recognition effect, the discreet degree of samples in projection space and the similarity between sub-patterns, for evaluating the capability of sub-pattern was contrived. Firstly, designed the form of sub-pattern. Secondly, calculated the capabilities of all kinds of sub-patterns based on this evaluation method. Finally, obtained the preferable sub-pattern. Experiments are carried out in the ear database, ORL face database and iris database which show that this evaluation method can effectively choose the preferable sub-pattern, and shorten the calculation time to about 1/4 of the conventional choosing method. It is an effective evaluation method for capability of sub-pattern. %K 2DFLD %K sub-pattern %K similarity %K discrete degree %K evaluation method
二维Fisher线性判别 %K 子模式 %K 相似度 %K 离散程度 %K 评价方法 %U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=1328E447E0A23D0FAA0D37CBB1E759D0&yid=DE12191FBD62783C&vid=96C778EE049EE47D&iid=708DD6B15D2464E8&sid=9438A87F25EF7EE7&eid=BD799A26D4E1A2C4&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=10