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Zhonghua Liu
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Publications
- 2022
- [j48]Gang Liu, Zixuan Cao, Sen Liu, Bin Song, Zhonghua Liu:
An improved SSD method for infrared target detection based on convolutional neural network. J. Comput. Methods Sci. Eng. 22(4): 1393-1408 (2022) - 2020
- [j34]Gang Liu, Sen Liu, Liuke Liang, Zhonghua Liu, Jianwei Ma:
Scene Matching for Infrared and Visible Images with Compressive Sensing SIFT Feature Representation in Bandelet Domain. Int. J. Pattern Recognit. Artif. Intell. 34(11): 2054029:1-2054029:22 (2020) - [j33]Zhonghua Liu, Gang Liu, Lin Zhang, Jiexin Pu:
Linear regression classification steered discriminative projection for dimension reduction. Multim. Tools Appl. 79(17-18): 11993-12005 (2020) - 2019
- [j31]Zhonghua Liu, Jingjing Wang, Gang Liu, Jiexin Pu:
Sparse Low-Rank Preserving Projection for Dimensionality Reduction. IEEE Access 7: 22941-22951 (2019) - [j28]Zhonghua Liu, Jingjing Wang, Gang Liu, Lin Zhang:
Discriminative low-rank preserving projection for dimensionality reduction. Appl. Soft Comput. 85 (2019) - [j26]Zhonghua Liu, Lin Zhang, Jiexin Pu, Gang Liu, Sen Liu:
Using the Original and Symmetrical Face Test Samples to Perform Two-Step Collaborative Representation for Face Recognition. Int. J. Pattern Recognit. Artif. Intell. 33(2): 1956001:1-1956001:15 (2019) - 2018
- [j23]Gang Liu, Zhonghua Liu, Sen Liu, Jianwei Ma, Fei Wang:
Registration of infrared and visible light image based on visual saliency and scale invariant feature transform. EURASIP J. Image Video Process. 2018: 45 (2018) - [j21]Zhonghua Liu, Gang Liu, Jiexin Pu, Xiaohong Wang, Haijun Wang:
Orthogonal sparse linear discriminant analysis. Int. J. Syst. Sci. 49(4): 848-858 (2018) - 2017
- [j17]Zhonghua Liu, Gang Liu, Jiexin Pu, Shigang Liu:
Noisy label based discriminative least squares regression and its kernel extension for object identification. KSII Trans. Internet Inf. Syst. 11(5): 2523-2538 (2017) - 2016
- [j11]Zhonghua Liu, Chunlei Yang, Jiexin Pu, Gang Liu, Sen Liu:
Robust Minimum Squared Error Classification Algorithm with Applications to Face Recognition. KSII Trans. Internet Inf. Syst. 10(1): 308-320 (2016)
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