Learning Sparsifying Transforms

By Saiprasad Ravishankar, Yoram Bresler. IEEE Transactions on Signal Processing, 2013

354 citations recorded by the source corpus.

Subfields: Computational Mechanics, Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/200ca3b7da02a9864c62dfe14714070b9785e6f2

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computational Mechanics

1. Ge Wang
2. Yunjin Chen

In Computer Vision and Pattern Recognition

1. Jiliu Zhou
2. Ge Wang
3. Yunjin Chen
4. Yi Zhang
5. Wangmeng Zuo
6. Kai Zhang
7. Lei Zhang
8. Jong Chul Ye

Citations in the corpus

• LEARN: Learned Experts’ Assessment-Based Reconstruction Network for Sparse-Data CT (2017, positive): “Most interestingly, via learning sparsifying transforms [27], Zheng et al.”