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View all- Zhong JZhong PXu YYang L(2021)Robust multiview feature selection via view weightedMultimedia Tools and Applications10.1007/s11042-020-09617-880:1(1503-1527)Online publication date: 1-Jan-2021
In order to select informative features from a high-dimensional multi-view dataset, we have proposed a feature selection method that simultaneously embedding the low-rank constraint, sparse representation, global and local structure learning into a ...
This paper presents a novel low-rank matrix factorization method, named MultiHMMF, which incorporates multiple Hypergraph manifold regularization to the low-rank matrix factorization. In order to effectively exploit high order information among the data ...
As an important pre-processing stage in many machine learning and pattern recognition domains, feature selection deems to identify the most discriminate features for a compact data representation. As typical feature selection methods, Lasso and its ...
Kluwer Academic Publishers
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