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Mingzhi Li, Xianjun Yu, Dejun Meng, Guangfeng An and Baojie Liu
Studies on the geometry variation-related compressor uncertainty quantification (UQ) have often used dimension reduction methods, such as the principal component analysis (PCA), for the modeling of deviations. However, in the PCA method, the main eigenmo...
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Lin He, Xianjun Chen, Jun Li and Xiaofeng Xie
Manifold learning is a powerful dimensionality reduction tool for a hyperspectral image (HSI) classification to relieve the curse of dimensionality and to reveal the intrinsic low-dimensional manifold. However, a specific characteristic of HSIs, i.e., ir...
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Jianfeng Weng, Xianjun Liu, Zhenhua Wang, Jianjun Wang, Lin Zhang, Zhuanfang Hao, Chuanxiao Xie, Mingshun Li, Degui Zhang, Li Bai, Changlin Liu, Shihuang Zhang, and Xinhai Li
Pág. 692 - 699
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Xianjun Li, Biguang Zhang, Wenjun Li, Yanjun Li
Pág. 521 - 528
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