Neural Networks (13 papers)
E. Oja, "A simplified neuron model as a principal component analyzer", Journal of Mathematical Biology, pages 267-273, 1982.
L. Xu, A. Yuille, "Robust principal component analysis by self organizing rules based on statistical physics approach", IEEE Transactions on Neural Networks, pages 131-143, January 1995.
F. Peper, H. Noda, "A class of simple nonlinear 1-unit PCA neural networks", IEEE International Conference on Neural Networks, Volume 1, pages 285-289, 1995.
S. Osowski, A. Majkowski, A. Cichocki, "Robust PCA neural networks for random noise reduction of the data", IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 1997, Volume 4, pages 3397-3400, 1997.
W. Song, X. Shaowei, "Robust PCA based on neural networks", IEEE Conference on Decision and Control, pages 503-508, 1997.
W. Song, L. Yilong, M. Feng, "An adaptive robust PCA neural network", IEEE International Joint Conference on Neural Networks, pages 2288-2293, 1998.
J. Qiu, H. Wang, J. Lu, B. Zhang, K. Du, "Neural Network Implementations for PCA and Its Extensions", Artificial Intelligence, 2012.
J. Lv, Z. Yi, Y. Li, "Non-Divergence of Stochastic Discrete Time Algorithms for PCA Neural Networks", IEEE Transactions on Neural Networks and Learning Systems, Volume 26, No. 2, pages 394-399, February 2015.
M. Qaraei, S. Abbaasi, K. Ghiasi-Shirazi, "Randomized non-linear PCA networks", Information Sciences, Volume 545, pages 241-253, 2021.
Z. Sun, Z. Shao, Y. Shang, B. Li, J. Wu, H. Bi, "Randomized nonlinear two-dimensional principal component analysis network for object recognition", Machine and Vision Applications, 2023.
Fuzzy RPCA (3 papers),
T. Yang, S. Wang, "Robust algorithms for principal component analysis", Pattern Recognition Letters, Volume 20, pages 927-933, 1999.
T. Yang, S. Wang, "Fuzzy auto-associative neural networks for principal component extraction of noisy data", IEEE Transactions on Neural Networks, May 2010.
J. Lv, K. Tan, Z. Yi, S. Huang, "Family of Fuzzy Learning Algorithms for Robust Principal Component Analysis Neural Networks", IEEE Transactions on Fuzzy Systems, 2010.
Deep Neural Networks (10 papers)
PCANet (3 papers)
J. Wu, S. Qiu, Y. Kong, L. Jiang, Y. Chen, W. Yang, S. Lotfi, H. Shu, "PCANet: An energy perspective", Neurocomputing, pages 271-287, 2018.
A. Abdelbaky, S. Aly, "Human action recognition using short-time motion energy template images and PCANet features", Neural Computing and Applications, Volume 32, No. 6, pages 12561-12574. 2020.
S. Wang, S. Guan, H. Lin, J. Huang, F. Long, J. Yao, "Micro-expression recognition based on optical flow and PCANet", Sensors, 2022.
PCANet plus (1 paper)
C. Low, A. Teoh, K. Toh, "Stacking PCANet plus: an overly simplified Convnets baseline for face recognition", IEEE Signal Processing Letters, Volume 24, No. 11, pages1581-1585, 2017.
PCANet II (1 paper)
C. Fan, X. Hon.g, L. Tian, Y. Ming, M. Pietikainen, G. Zhao, "PCANet-II: when PCANet meets the second order pooling", IEICE Transactions on Information and Systems , pages 2159-2162, 2018.
2D2PCANet (1 paper)
Y. Li, X. Wu, J. Kittler, "L1-2D2PCANet: a deep learning network for face recognition", Journal Electron. Imaging, volume 28, No. 2, page 023016, 2019.
M3SPCANet (1 paper)
D. Zhou, S. Feng, "M3SPCANet: A simple and effective ConvNets with unsupervised predefined filters", Engineering Applications of Artificial Intelligence, 2022.
Robust PCANet (3 papers)
J. Xu, P. Bi, X. Du, J. Li, "Robust PCANet on target recognition via the UUV optical vision system," Optik, Volume 181, pages 588–597, 2018.
Z. Yuan, Q. Wang, X. Li, Robust PCANet for Hyperspectral Image Change Detection, IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 Valencia, Spain, pages 4931-4934, 2018.
W. Gea, J. Li, X. Wang, T. Zielinska, "Robust Two-dimensional PCANet with F-norm Distance Metric", Knowledge-Based Systems, 2024.