Face Recognition with Single Training Sample per Subject
Author:
Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-319-68548-9_19
Reference26 articles.
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2. Borgi, M.A., Labate, D., El’Arbi, M., Amar, C.B.: Regularized shearlet network for face recognition using single sample per person. In: 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 514–518. IEEE (2014)
3. Cevikalp, H.: New clustering algorithms for the support vector machine based hierarchical classification. Pattern Recogn. Lett. 31(11), 1285–1291 (2010)
4. Chen, L., Man, H., Nefian, A.V.: Face recognition based on multi-class mapping of fisher scores. Pattern Recogn. 38(6), 799–811 (2005)
5. Fan, Z., Ni, M., Zhu, Q., Sun, C., Kang, L.: L 0-norm sparse representation based on modified genetic algorithm for face recognition. J. Vis. Commun. Image Represent. 28, 15–20 (2015)
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