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Scalable and Robust Tensor Decomposition of Spontaneous Stereotactic EEG Data
OBJECTIVE: Identification of networks from resting brain signals is an important step in understanding the dynamics of spontaneous brain activity. We approach this problem using a tensor-based model. METHODS: We develop a rank-recursive Scalable and Robust Sequential Canonical Polyadic Decomposition...
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| Vydáno v: | IEEE Trans Biomed Eng |
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| Hlavní autoři: | , , , , , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
2018
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6677658/ https://ncbi.nlm.nih.gov/pubmed/30307856 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TBME.2018.2875467 |
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