Structured Overcomplete Sparsifying Transform Learning with Convergence Guarantees and Applications

Author:

Wen Bihan,Ravishankar Saiprasad,Bresler Yoram

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Software

Reference83 articles.

1. Agarwal, A., Anandkumar, A., Jain, P., Netrapalli, P., & Tandon, R. (2013). Learning sparsely used overcomplete dictionaries via alternating minimization, arXiv:1310.7991 , Preprint.

2. Agarwal, A., Anandkumar, A., Jain, P., Netrapalli, P., & Tandon, R. (2014). Learning sparsely used overcomplete dictionaries. Journal of Machine Learning Research, 35, 1–15.

3. Aharon, M., & Elad, M. (2008). Sparse and redundant modeling of image content using an image-signature-dictionary. SIAM Journal on Imaging Sciences, 1(3), 228–247.

4. Aharon, M., Elad, M., & Bruckstein, A. (2006). K-SVD: An algorithm for designing overcomplete dictionaries for sparse representation. IEEE Transactions on Signal Processing, 54(11), 4311–4322.

5. Arora, S., Ge, R., & Moitra, A. (2013). New algorithms for learning incoherent and overcomplete dictionaries. arXiv:1308.6273v5.pdf , Preprint

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