Sparse support vector machine for pattern recognition

Summary Support vector machine (SVM) is one of the most popular classification techniques in pattern recognition community. However, because of outliers in the training samples, SVM tends to perform poorly under such circumstances. In this paper, we borrow the idea from compressive sensing by introd...

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Veröffentlicht in:	Concurrency and computation 2016-05, Vol.28 (7), p.2261-2273
Hauptverfasser:	Chen, Guangyi, Bui, Tien. D., Krzyżak, Adam
Format:	Artikel
Sprache:	eng
Schlagworte:	Classification Communities image processing machine learning Mathematical analysis Norms Outliers (statistics) Pattern recognition sparse support vector machines Support vector machines
Online-Zugang:	Volltext
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