Half-Quadratic-Based Iterative Minimization for Robust Sparse Representation

By Ran He, Weishi Zheng, Tien-Ping Tan, Zhenan Sun. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2014

327 citations recorded by the source corpus.

Subfields: Computational Mechanics, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/8f992ed6686710164005c20ab16cef6c6ad8d0ea

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. Ying Tai
2. Chong Mou
3. Yong Xu
4. Jian Zhang
5. Qian Wang
6. Jian Yang

In Computer Vision and Pattern Recognition

1. Ying Tai
2. Jian Yang
3. Chong Mou
4. Yong Xu
5. Jian Zhang
6. Qian Wang
7. Jianjun Qian
8. Lei Luo

In Electrical and Electronic Engineering

1. Ying Tai
2. Jian Yang

Citations in the corpus

• Nuclear Norm Based Matrix Regression with Applications to Face Recognition with Occlusion and Illumination Changes (2014, background): “It is interesting that although CESR and RSC are developed from different motivations, they are both in spirit of a sparse robust regression model, noticing that correntropy can be viewed as an M-estimator with varying kernel sizes.”
• Deep Generalized Unfolding Networks for Image Restoration (2022, methodology): “In [28], Heide et al. used an alternative to ADMM and HQS to decouple the data term and prior term.”