id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_gstkhqsdvre5vmt7ndl3xq6wfq	Fei Yin	Double linear regressions for single labeled image per person face recognition	2014.0	3	.pdf	application/pdf	1855	198	56	Double linear regressions for single labeled image per person face recognition Double linear regressions for single labeled image per person Recently the underlying sparse representation structure in high dimensional data has received considerable dimensionality reduction (SDR) method, named Double Linear Regressions (DLR), to tackle the Single Labeled (SALP) method, which is accomplished using Linear Regressions (LR), is first presented to propagate the label methods, and the recently proposed sparse representation structure Two classical dimensionality reduction methods Principle Component Analysis (PCA) [13] and Linear Discriminant Analysis (LDA) [14] belong to global structure based methods. representative sparse representation structure based methods include sample per person available, the classical appearance-based methods including Eigenfaces and Fisherfaces suffer big performance through solving n (number of training samples) ℓ1 norm optimization problems, and then uses the learned sparse representation Finally, DLR takes into account both the discriminating efficiency and the sparse representation structure by using the	./cache/work_gstkhqsdvre5vmt7ndl3xq6wfq.pdf	./txt/work_gstkhqsdvre5vmt7ndl3xq6wfq.txt