Semi-supervised Robust Dictionary Learning via Efficient l-Norms Minimization
By Hua Wang, Feiping Nie, Weidong (Tom) Cai, Heng Huang. 2013
66 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
- Zhi-Hua Zhou
- De-chuan Zhan
- Qingxiong Yang
- Gang Wang
- Han-Jia Ye
- Yuan Jiang
- Tian-Tsong Ng
- Amir Shahroudy
In Computer Vision and Pattern Recognition
In Media Technology
Citations in the corpus
- Multimodal Multipart Learning for Action Recognition in Depth Videos (2015, methodology): “[31] proposed a robust self-taught learning using mixed norms and [32] utilized a fractional mixed norm for robust adaptive dictionary learning.”
- Heterogeneous Few-Shot Model Rectification With Semantic Mapping (2020, methodology): “We requires the reconstruction coefficients to be sparse to make the crosstask reconstruct coefficients concentrate on the similar bases [24], [25], and the sparsity is controlled by the non-nega-”