Tensor Train Subspace Analysis for Classification of Hand Gestures with Surface EMG Signals
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-36021-3_63
Reference17 articles.
1. Chowdhury, R.H., Reaz, M.B.I., Ali, M.A.B.M., Bakar, A.A.A., Chellappan, K., Chang, T.G.: Surface electromyography signal processing and classification techniques. Sensors 13(9), 12431–12466 (2013)
2. Cichocki, A., Lee, N., Oseledets, I.V., Phan, A.H., Zhao, Q., Mandic, D.P.: Tensor networks for dimensionality reduction and large-scale optimization: part 1 low-rank tensor decompositions. Found. Trends Mach. Learn. 9(4–5), 249–429 (2016)
3. Cichocki, A., et al.: Tensor networks for dimensionality reduction and large-scale optimization: part 2 applications and future perspectives. Found. Trends Mach. Learn. 9(6), 431–673 (2017)
4. Côté-Allard, U., et al.: Deep learning for electromyographic hand gesture signal classification using transfer learning. IEEE Trans. Neural Syst. Rehabil. Eng. 27(4), 760–771 (2019)
5. Fonał, K., Zdunek, R.: Distributed and randomized tensor train decomposition for feature extraction. In: IJCNN, pp. 1–8 (2019)
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