文章基本信息

标题：Pattern Recognition: Possible Research Areas and Issues
本地全文：下载
作者：Jayashree Rajesh Prasad
期刊名称：International Journal of Computer Science and Network
印刷版ISSN：2277-5420
出版年度：2014
卷号：3
期号：5
页码：326-333
出版社：IJCSN publisher
摘要：Pattern recognition is a tough problem for computers, although humans are wired for it. Pattern recognition is becoming increasingly important in the age of automation and information handling and retrieval. This paper reviews possible application areas of Pattern recognition. Author covers various sub-disciplines of pattern recognition based on learning methods, such as supervised, unsupervised, semi-supervised learning and key research areas such as grammar induction. Novel solutions to these possible problems could be well deployed for character recognition, speech analysis, man and machine diagnostics, person identification, industrial inspection and so on. The paper concludes with brief discussion on open issues that need to be addressed by future researchers
关键词：Anomaly detection;Classification;Clustering;Dimensionality reduction;Grammar induction;Feature learning;Supervised;unsupervised learning