1. Kavukcuoglu, K., Sermanet, P., Boureau, Y.L., et al.: Learning convolutional feature hierarchies for visual recognition. In: International Conference on Neural Information Processing Systems, Vancouver, British Columbia, Canada, pp. 1090–1098. Curran Associates Inc. (2010)
2. Tao, Z., Ye, X., Furao, S., et al.: An online incremental orthogonal component analysis method for dimensionality reduction. Neural Netw. 85, 33–50 (2016)
3. Chan, T.H., Jia, K., Gao, S., et al.: PCANet: a simple deep learning baseline for image classification? IEEE Trans. Image Process. 24(12), 5017–5032 (2015). A Publication of the IEEE Signal Processing Society
4. Dan, C., Meier, U., Schmidhuber, J.: Multi-column deep neural networks for image classification. In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 3642–3649. IEEE Computer Society (2012)
5. Yu, K., Lin, Y., Lafferty, J.: Learning image representations from the pixel level via hierarchical sparse coding. In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 1713–1720. IEEE Computer Society (2011)