The following publications are possibly variants of this publication:
- Hyperspectral Images Denoising Based on Mixtures of Factor AnalyzersBin Zhao, Johannes R. Sveinsson, Magnus O. Ulfarsson, Jocelyn Chanussot. igarss 2020: 1516-1519 [doi]
- (Semi-) Supervised Mixtures of Factor Analyzers and Deep Mixtures of Factor Analyzers Dimensionality Reduction Algorithms For Hyperspectral Images ClassificationBin Zhao, Johannes R. Sveinsson, Magnus O. Ulfarsson, Jocelyn Chanussot. igarss 2019: 887-890 [doi]
- Mixtures of Factor Analyzers and Deep Mixtures of Factor Analyzers Dimensionality Reduction Algorithms For Hyperspectral Images ClassificationBin Zhao, Magnus O. Ulfarsson, Johannes R. Sveinsson, Jocelyn Chanussot. igarss 2019: 891-894 [doi]
- Unsupervised and Supervised Feature Extraction Methods for Hyperspectral Images Based on Mixtures of Factor AnalyzersBin Zhao, Magnus O. Ulfarsson, Johannes R. Sveinsson, Jocelyn Chanussot. remotesensing, 12(7):1179, 2020. [doi]
- Semi-Supervised Mixtures of Factor Analyzers Feature Extraction for Hyperspectral ImagesBin Zhao, Johannes R. Sveinsson, Magnus O. Ulfarsson, Jocelyn Chanussot. lgrs, 19:1-5, 2022. [doi]
- A Denoising Network Based on Frequency-Spectral- Spatial-Feature for Hyperspectral ImageSiqi Wang, Liyuan Li, Xiaoyan Li, Jingwen Zhang, Lixing Zhao, XiaoFeng Su, Fansheng Chen. staeors, 16:6693-6710, 2023. [doi]