Feature Selection Based on Structured Sparsity: A Comprehensive Study

By Jie Gui, Zhenan Sun, Shuiwang Ji, Dacheng Tao, Tien-Ping Tan. 2017

250 citations recorded by the source corpus.

Subfields: Computational Mechanics, Computer Vision and Pattern Recognition, Media Technology

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. Wuyang Chen
2. Josef Kittler
3. Zhangyang Wang
4. Xiaojun Wu

In Computer Vision and Pattern Recognition

1. Josef Kittler
2. Xiaojun Wu
3. Zhangyang Wang
4. Hui Li
5. Yingyan Lin
6. Yonggan Fu
7. Wuyang Chen
8. Haotao Wang

In Media Technology

1. Josef Kittler
2. Xiaojun Wu
3. Hui Li
4. Wuyang Chen
5. Zhangyang Wang
6. Jiayi Ma
7. Xiao-Jun Wu
8. Linfeng Tang

Citations in the corpus

• AutoGAN-Distiller: Searching to Compress Generative Adversarial Networks (2020, positive): “, 2017), was widely adopted as a hardwarefriendly compression means (Gui et al., 2016).”
• Learning Adaptive Discriminative Correlation Filters via Temporal Consistency Preserving Spatial Feature Selection for Robust Visual Object Tracking (2018, background): “, lying in a p-norm ball around 0 [62], [63].”