Target Coding for Extreme Learning Machine
Author:
Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-030-01520-6_27
Reference19 articles.
1. Kasun, L.L.C., Yang, Y., Huang, G.-B., Zhang, Z.: Dimension reduction with extreme learning machine. IEEE Trans. Image Process. 25(8), 3906–3918 (2016)
2. Cui, D., Kasun, L.L.C., Huang, G.-B., Zhang, G., Han, W.: Elmnet: feature learning using extreme learning machines. In: International Conference on Image Processing, pp. 1857–1861. IEEE (2017)
3. Wang, S., Deng, C., Lin, W., Huang, G.-B., Zhao, B.: NMF-based image quality assessment using extreme learning machine. IEEE Trans. Cybern. 47(1), 232–243 (2017)
4. Omlin, C.W., Giles, C.L.: Stable encoding of large finite-state automata in recurrent neural networks with sigmoid discriminants. Neural Comput. 8(4), 675–696 (1996)
5. Huang, G., Huang, G.-B., Song, S., You, K.: Trends in extreme learning machines: a review. Neural Netw. 61, 32–48 (2015)
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