Applying Neural Networks to a Fractal Inverse Problem

Author:

Graham Liam,Demers Matthew

Publisher

Springer International Publishing

Reference12 articles.

1. Abiko, T., Kawamata, M.: IFS coding of non-homogeneous fractal images using Gröbner basis. In: Proceedings of the IEEE International Conference on Image Processing, pp. 25–29 (1999)

2. Barnsley, M.: Fractals Everywhere, 2nd edn. Academic Press, San Diego (1993)

3. Berkner, K.: A wavelet-based solution to the inverse problem for fractal interpolation functions. In: Lévy Véhel, J., Lutton, E., Tricot, C. (eds.) Fractals in Engineering, pp. 81–92. Springer, London (1997). https://doi.org/10.1007/978-1-4471-0995-2_7

4. Goodfellow, I., Bengio, Y., Courville, A.: Deep Learning. MIT Press (2016). http://www.deeplearningbook.org

5. He, K., Zhang, X., Ren, S., Sun, J.: Deep residual learning for image recognition. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 770–778. Las Vegas, NV (2016). https://doi.org/10.1109/CVPR.2016.90

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