Principal component analysis based on block-norm minimization
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DOI: 10.1007/s10489-018-1382-0
Abstract: Principal Component Analysis (PCA) has attracted considerable interest for years in the studies of image recognition. So far, several state-of-the-art PCA-based robust feature extraction techniques have been proposed, such as PCA-L1 and R1-PCA. Since those… read more here.
Keywords: block; principal component; pca; block norm ... See more keywords