[1] Janiesch C, Zschech P, Heinrich K. Machine learning and deep learning[J]. Electronic Markets, 31, 685-695(2021).

[2] Zheng J H, Yu X D, Zhao S M et al. Denoising of correlation imaging based on mean filtering[J]. Acta Optica Sinica, 42, 2211002(2022).

[3] Gatti A, Brambilla E, Bache M et al. Correlated imaging, quantum and classical[J]. Physical Review A, 70, 013802(2004).

[4] Shapiro J H. Computational ghost imaging[J]. Physical Review A, 78, 061802(2008).

[5] Zong Y F, Zheng H B, Wu X W et al. Sequence-controlled pseudothermal optical ghost imaging system[J]. Acta Optica Sinica, 43, 0711001(2023).

[6] Liu J F, Wang L, Zhao S M. Orthogonal-triangular decomposition ghost imaging[J]. Chinese Physics B, 31, 084202(2022).

[7] Clemente P, Durán V, Torres-Company V et al. Optical encryption based on computational ghost imaging[J]. Optics Letters, 35, 2391-2393(2010).

[8] Xu C X, Li D K, Guo K et al. Computational ghost imaging with key-patterns for image encryption[J]. Optics Communications, 537, 129190(2023).

[9] Pelliccia D, Rack A, Scheel M et al. Experimental X-ray ghost imaging[J]. Physical Review Letters, 117, 113902(2016).

[10] Hou M X, Hou C L. Application of correlation imaging and its latest progress[J]. Laser & Optoelectronics Progress, 60, 0200003(2023).

[11] Hearst M A, Dumais S T, Osuna E et al. Support vector machines[J]. IEEE Intelligent Systems and Their Applications, 13, 18-28(1998).

[12] Ma Y J, Ma Y T, Chen J H. Vehicle recognition based on multi-layer features of convolutional neural network and support vector machine[J]. Laser & Optoelectronics Progress, 56, 141001(2019).

[13] Noble W S. What is a support vector machine?[J]. Nature Biotechnology, 24, 1565-1567(2006).

[14] Sharma A, Paliwal K K. Linear discriminant analysis for the small sample size problem: an overview[J]. International Journal of Machine Learning and Cybernetics, 6, 443-454(2015).

[15] Balakrishnama S, Ganapathiraju A. Linear discriminant analysis: a brief tutorial[J]. Institute for Signal and Information Processing, 18, 1-8(1998).

[16] Zhu F, Gao J B, Yang J et al. Neighborhood linear discriminant analysis[J]. Pattern Recognition, 123, 108422(2022).