文章基本信息

标题：Research on Different Representation Methods for Classification
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作者：Jiangshu Wei ; Xiangjun Qi ; Mantao Wang 等
期刊名称：International Journal of Multimedia and Ubiquitous Engineering
印刷版ISSN：1975-0080
出版年度：2014
卷号：9
期号：12
页码：269-280
DOI：10.14257/ijmue.2014.9.12.25
出版社：SERSC
摘要：Under today's big data environment, with the rapid development of computer network technology and information technology, data mining is becoming more and more important in computer science. Classification is one of the most important aspects in data mining research Field. Recently, representation methods, such as sparse representation and low rank representation, have been much concerned. They both have wide applications in scientific and engineering fields. However, sparse representation and low rank representation include many methods, although these methods have their own characteristics, they are all effective for handling classification problems. This paper focuses on the performance comparison of different representation methods currently used in handling classification problems and views other conventional methods that can be applied in this field.
关键词：Sparse representation; Low rank representation; Classification