High-Performance ELM for Memory Constrained Edge Computing Devices with Metal Performance Shaders-Reference-Cited by-同舟云学术

High-Performance ELM for Memory Constrained Edge Computing Devices with Metal Performance Shaders

Published:2020-09-12 Issue: Volume: Page:79-88
ISSN:2363-6084
Container-title:Proceedings of ELM2019
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Author:

Akusok Anton,Leal Leonardo Espinosa,Björk Kaj-Mikael,Lendasse Amaury

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-58989-9_9

Reference20 articles.

1. Akusok, A., Björk, K.M., Miche, Y., Lendasse, A.: High-performance extreme learning machines: a complete toolbox for big data applications. IEEE Access 3 (2015)

2. Akusok, A., Baek, S., Miche, Y., Björk, K.M., Nian, R., Lauren, P., Lendasse, A.: ELMVIS+: fast nonlinear visualization technique based on cosine distance and extreme learning machines. Neurocomputing 205, 247–263 (2016)

3. Akusok, A., Grigorievskiy, A., Lendasse, A., Miche, Y., Villmann, T., Schleif, F.: Image-based classification of websites. Mach. Learn. Rep. 2, 25–34 (2013)

4. Akusok, A., Veganzones, D., Miche, Y., Björk, K.M., du Jardin, P., Severin, E., Lendasse, A.: MD-ELM: originally mislabeled samples detection using OP-ELM model. Neurocomputing 159, 242–250 (2015)

5. Akusok, A., Veganzones, D., Miche, Y., Severin, E., Lendasse, A.: Finding originally mislabels with MD-ELM. In: ESANN 2014 Proceedings, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, pp. 689–694. i6doc.com, Bruges, April 2014

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