摘要
基于降维的思想将多维的模式识别问题简化为一维问题,给出了判断分界点的方法。
Based on the idea of dimension reduction,we simplify the multi-dimension pattern recognition to the one in one dimension,and give the method how to judge the dividing points.
引文
[1]Sergios Theodoridis,Konstantinos Koutroumbas.模式识别[M].李晶皎,朱志良,译.北京:电子工业出版社,2004.
[2]李弼程,邵美珍,黄洁.模式识别原理与应用[M].西安:西安电子科技大学出版社,2008.
[3]王碧泉,陈祖荫.模式识别[M].北京:地震出版社,1989.
[4]唐博,牛秦洲.玻璃瓶凸显字符的快速投影模板匹配[J].长春工业大学学报:自然科学版,2007,28(4):407-410.
[5]Chen Lifen,Liao H Y,Ko M T,et al.A newLDA-based face recognition system which can solvethe small sample size problem[J].Pattern Recogni-tion,2000,33(10):1713-1726.
[6]盛聚,谢式千,潘承毅.概率论与数理统计[M].北京:高等教育出版社,1990.
[7]刘峰,孙超,李斌.一种新的线性判别函数的加权方法[J].计算机工程,2004(3):17-18.
[8]Yu Hua,Yang Jie.A direct LDA algorithm forhigh-di mensional data-with application to face rec-ognition[J].Pattern Recognition,2001,34(10):2067-2070.