Pattern Recognition in EEG Cognitive Signals Accelerated by GPU

Author:

Dohnálek Pavel,Gajdoš Petr,Peterek Tomáš,Penhaker Marek

Publisher

Springer Berlin Heidelberg

Reference4 articles.

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2. Cichocki, A., Phan, A.H., Zdunek, R.: Nonnegative Matrix and Tensor Factorizations: Applications to Exploratory Multi-way Data Analysis and Blind Source Separation. Wiley, Chichester (2009)

3. Kirk, D.B., Hwu, W.-M.W.: Programming Massively Parallel Processors: A Hands-on Approach, 1st edn. Applications of GPU Computing Series. Morgan Kaufmann (February 2010)

4. Lee, D.D., Sebastian Seung, H.: Algorithms for Non-negative Matrix Factorization. In: Leen, T.K., Dietterich, T.G., Tresp, V. (eds.) Advances in Neural Information Processing Systems 13, pp. 556–562. The MIT Press, Cambridge (2001)

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1. On the Use of GPU Computing for Accelerating EEG Preprocessing;Lecture Notes in Computer Science;2024

2. Classification of EEG Signals Using Vector Quantization;Artificial Intelligence and Soft Computing;2014

3. Evolutionary Weighted Ensemble for EEG Signal Recognition;Advances in Intelligent Systems and Computing;2014

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