Recovering low-rank and sparse matrix based on the truncated nuclear norm
Feilong Cao(Zhejiang Normal University), Zhenghua Zhou(China Jiliang University), Hailiang Ye(China Jiliang University), Jianwei Zhao(China Jiliang University), Jiaying Chen(Xinjiang University)
Cited by 68
Related Papers
An overview of conductive composite hydrogels for flexible electronic devices
|Advanced Composites and Hybrid Materials|2024|168
Sensory evaluation of the synergism among ester odorants in light aroma-type liquor by odor threshold, aroma intensity and flash GC electronic nose
|Food Research International|2018|124
Photocatalytic Co‐Reduction of N<sub>2</sub> and CO<sub>2</sub> with CeO<sub>2</sub> Catalyst for Urea Synthesis
|Angewandte Chemie International Edition|2023|97
A Tri-Polarized Antenna With Diverse Radiation Characteristics for 5G and V2X Communications
|IEEE Transactions on Vehicular Technology|2020|88
Evaluation of Vehicle Braking Performance on Wet Pavement Surface using an Integrated Tire-Vehicle Modeling Approach
|Transportation Research Record Journal of the Transportation Research Board|2019|69