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Z. L. Jiang, L. Zhe and L. S. Davis, “Learning a Discriminative Dictionary for Sparse Coding via Label Consistent K-SVD,” Proceedings of 2011 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), IEEE, 2011, pp. 1697-1704.

has been cited by the following article:

• TITLE: Combined Dictionary Learning in Facial Expression Recognition

  AUTHORS: Ziyang Zhang, Kaamran Raahemifar

  KEYWORDS: Facial expression Recognition; Dictionary Learning; K-SVD

  JOURNAL NAME: Journal of Signal and Information Processing, Vol.4 No.3B, October 16, 2013

  ABSTRACT: Dictionary learning has been applied to face recognition and gets good results. However few works applied dictionary learning in facial expression recognition. This paper investigates the application of K-SVD in facial expression recognition. Since K-SVD focuses on reconstruction and lacks discriminant capability. It has similar classification performance with image pixel values. To address this problem, this paper proposes a Combined Dictionary Scheme, which uses combination of separate dictionaries. This yields better performance than the original single dictionary scheme in terms of both recognition rate and computation complexity.