New classifier based on compressed dictionary and LS-SVM
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- 作者：Chen Sun ; smilesunc@163.com" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae ; Licheng JiaoAuthor Vitae ; Hongying LiuAuthor Vitae ; Shuyuan YangAuthor Vitae
- 关键词：Sparsity ; Compressed dictionary ; LS-SVM ; Restricted isometry property ; Compressive sensing
- 刊名：Neurocomputing
- 出版年：2016
- 出版时间：5 December 2016
- 年：2016
- 卷：216
- 期：Complete
- 页码：617-626
- 全文大小：1083 K
文摘
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A classifier using the framework of compressive sensing is proposed.
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Sparse solutions and compressed version of signals are sought directly.
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A compressed dictionary is constructed to deal with large scale problems.
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The mechanism is operated without casting any prior hypothesis on data.