@inproceedings{7fa0c3c6df3e41bb8900986444d04142,
title = "Collaborative representation based projections for face recognition",
abstract = "In this paper, we develop a collaborative representation based projections (CRP) for face recognition, which is an unsupervised method. Like SPP and NPE, CRP aims to preserve the sparse reconstruction relations of data. CRP is much faster than SPP since CRP adopts collaborative representation with regularized least square related as objective function while SPP adopts sparse representation related as objective function. Experimental results on ORL and FERET demonstrate that CRP works well in feature extraction and leads to good recognition performance.",
keywords = "collaborative representation, face recognition, feature extraction",
author = "Wankou Yang and Changyin Sun and Qingshan Liu and Karl Ricanek",
year = "2012",
doi = "10.1007/978-3-642-33506-8\_35",
language = "英语",
isbn = "9783642335051",
series = "Communications in Computer and Information Science",
pages = "276--283",
booktitle = "Pattern Recognition - Chinese Conference, CCPR 2012, Proceedings",
note = "2012 5th Chinese Conference on Pattern Recognition, CCPR 2012 ; Conference date: 24-09-2012 Through 26-09-2012",
}