Weighted average integration of sparse representation and collaborative representation for robust face recognition
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Computer Graphics and Computer-Aided Design,Computer Vision and Pattern Recognition
Link
http://link.springer.com/content/pdf/10.1007/s41095-016-0061-5.pdf
Reference39 articles.
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3. Xu Y.; Zhang D.; Yang J.; Yang J.-Y. An approach for directly extracting features from matrix data and its application in face recognition. Neurocomputing Vol. 71, Nos. 10–12, 1857–1865, 2008.
4. Turk M.; Pentland A. Eigenfaces for recognition. Journal of Cognitive Neuroscience Vol. 3, No. 1, 71–86, 1991.
5. Park S.W.; Savvides M. A multifactor extension of linear discriminant analysis for face recognition under varying pose and illumination. EURASIP Journal on Advances in Signal Processing Vol. 2010, 158395, 2010.
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