Signal classification based on block-sparse tensor representation

International Conference on Digital Signal Processing, DSP

Volumn 2014-January, Issue , 2014, Pages 361-365

  Zubair, Syed ^a   Wang, Wenwu ^a  

^a UNIVERSITY OF SURREY   (United Kingdom)

Author keywords

Block sparse representations; Classification; Dictionary learning; Tensor factorization

Indexed keywords

ALGORITHMS; CLASSIFICATION (OF INFORMATION); DIGITAL SIGNAL PROCESSING; FACE RECOGNITION; TENSORS;

BLOCK SPARSE; BLOCK STRUCTURES; DICTIONARY LEARNING; SIGNAL CLASSIFICATION; SPARSE REPRESENTATION; SPARSE REPRESENTATION BASED CLASSIFICATIONS; TENSOR FACTORIZATION; TENSOR REPRESENTATION;

SIGNAL PROCESSING;

EID: 84940740233     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDSP.2014.6900687     Document Type: Conference Paper

References (12)

1. Y. Li, S. Amari, A. Cichocki, D. W. C. Ho, and S. Xie, "Underdetermined blind source separation based on sparse representation," IEEE Trans. on Signal Processing, vol. 54, no. 2, pp. 423-437, 2006.
2. J. Wright, A. Y. Yang, A. Ganesh, S. Sastry, and Y. Ma, "Robust face recognition via sparse representation," IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 31, no. 2, pp. 210-227, Feb 2009.
3. M. Aharon, M. Elad, and A. Bruckstein, "K-SVD: An algorithm for designing overcomplete dictionaries for sparse representation," IEEE Trans. on Signal Processing, vol. 54, no. 11, pp. 4311-4322, 2006.
4. J. Mairal, F. Bach, J. Ponce, and G. Sapiro, "Discriminative learned dictionaries for local image analysis," in IEEE conference on Computer Vision and Pattern Recognition, June 2008, pp. 1-8.
5. E. Elhamifar and R. Vidal, "Robust classification using structured sparse representation," in IEEE Conference on Computer Vision and Pattern Recognition, June 2011, pp. 1873-1879.
6. S. S. Chen, D. L. Donoho, and M. A. Saunders, "Atomic decomposition by basis pursuit," SIAM Journal of Scientific Computing, vol. 20, no. 1, pp. 33-61, 1998.
7. M. Mallat and Z. Zhang, "Matching pursuit in a time-frequency dictionary," IEEE Trans. on Signal processing, vol. 41, pp. 3397-3415, 1993.
8. Y. C. Eldar, P. Kuppinger, and H. Bolcskei, "Block-sparse signals: Uncertainty relations and efficient recovery," IEEE Trans. on Signal Processing, vol. 58, no. 6, pp. 3042-3054, June 2010.
9. E. Elhamifar and R. Vidal, "Block-sparse recovery via convex optimization," IEEE Trans. on Signal Processing, vol. 60, no. 8, pp. 4094-4107, Aug. 2012.
10. T. Hazan, S. Polak, and A. Shashua, "Sparse image coding using a 3D non-negative tensor factorization," in IEEE International Conference on Computer Vision, October 2005, vol. 1, pp. 50-57.
11. J. Ho, M. H. Yang, J. Lim, K. Lee, and D. Kriegman, "Clustering appearances of objects under varying illumination conditions," in IEEE Conference on Computer Vision and Pattern Recognition, June 2003, vol. 1, pp. 11-18.
12. K. C. Lee, J. Ho, and D. Kriegman, "Acquiring linear subspaces for face recognition under varaible lighting," IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 27, no. 5, pp. 684-698, May 2005.