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Multi-domain Feature of Event-Related Potential Extracted by Nonnegative Tensor Factorization: 5 vs. 14 Electrodes EEG Data

机译：通过非负张量因子分解提取事件相关电位的多域特征：5对14电极EEG数据

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Fengyu Cong; Anh Huy Phan; Piia Astikainen; Qibin Zhao; Jari K. Hietanen; Tapani Ristaniemi; Andrzej Cichocki;
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年度 2013
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1. MULTI-DOMAIN FEATURE EXTRACTION FOR SMALL EVENT-RELATED POTENTIALS THROUGH NONNEGATIVE MULTI-WAY ARRAY DECOMPOSITION FROM LOW DENSE ARRAY EEG [J] . FENGYU CONG, ANH-HUY PHAN, PIIA ASTIKAINEN, International Journal of Neural Systems . 2013,第2期

机译：通过低密度阵列脑电的非负性多方向阵列分解，进行小事件相关电位的多域特征提取
2. BENEFITS OF MULTI-DOMAIN FEATURE OF MISMATCH NEGATIVITY EXTRACTED BY NON-NEGATIVE TENSOR FACTORIZATION FROM EEG COLLECTED BY LOW-DENSITY ARRAY [J] . FENGYU CONG, ANH HUY PHAN, QIBIN ZHAO, International Journal of Neural Systems (IJNS) . 2012,第6期

机译：从低密度阵列收集的脑电信号的非负张量因子分解中提取失配负性的多域特征
3. BENEFITS OF MULTI-DOMAIN FEATURE OF MISMATCH NEGATIVITY EXTRACTED BY NON-NEGATIVE TENSOR FACTORIZATION FROM EEG COLLECTED BY LOW-DENSITY ARRAY [J] . FENGYU CONG, ANH HUY PHAN, QIBIN ZHAO, International Journal of Neural Systems . 2012,第6期

机译：从低密度阵列收集的脑电信号的非负张量因子分解中提取失配负性的多域特征
4. Multi-domain Feature of Event-Related Potential Extracted by Nonnegative Tensor Factorization: 5 vs. 14 Electrodes EEG Data [C] . Fengyu Cong, Anh Huy Phan, Piia Astikainen, Latent variable analysis and signal separation. . 2012

机译：通过非负张量因子分解提取的事件相关电位的多域特征：5对14电极EEG数据
5. Nonnegative matrix and tensor factorizations, least squares problems, and applications. [D] . Kim, Jingu. 2011

机译：非负矩阵和张量分解，最小二乘问题及其应用。
6. Advances in Nonnegative Matrix and Tensor Factorization [O] . A. Cichocki, M. Mørup, P. Smaragdis, 2008

机译：非负矩阵和张量分解的研究进展
7. Multi-domain Features of the Non-phase-locked Component of Interest Extracted from ERP Data by Tensor Decomposition [O] . Guanghui Zhang, Chi Zhang, Shuo Cao, 2019

机译：通过张量分解从ERP数据中提取的非锁相锁定分量的多域特征

Multi-domain Feature of Event-Related Potential Extracted by Nonnegative Tensor Factorization: 5 vs. 14 Electrodes EEG Data

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