Sparsity‐aware support vector data description reinforced by expectation maximization

Support vector data description (SVDD) characterizes a dataset by a spherically shaped boundary around it. Since the complexity of SVDD training is O(N3), its performance decreases for large‐scale datasets. In this paper, we propose an improved SVDD algorithm, called EM‐SVDD, which combines the expe...

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Veröffentlicht in:	Expert systems 2022-01, Vol.39 (1), p.n/a
Hauptverfasser:	Eghdami, Mahdie, Sadoghi Yazdi, Hadi, Salehi, Neshat
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Complexity Datasets EM technique Image acquisition large dataset Maximization mixed classification Optimization Outliers (statistics) Parameter estimation Social networks Sparsity support vector data description Training
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