منابع مشابه
Robust Sparse PCA via Weighted Elastic Net
In principal component analysis (PCA), `2/`1-norm is widely used to measure coding residual. In this case, it assume that the residual follows Gaussian/Laplacian distribution. However, it may fail to describe the coding errors in practice when there are outliers. Toward this end, this paper propose a Robust Sparse PCA (RSPCA) approach to solve the outlier problem, by modeling the sparse coding ...
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ژورنال
عنوان ژورنال: ACM Journal on Emerging Technologies in Computing Systems
سال: 2020
ISSN: 1550-4832,1550-4840
DOI: 10.1145/3369391