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Multi-domain Features of the Non-phase-locked Component of Interest Extracted from ERP Data by Tensor Decomposition

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

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Guanghui Zhang; Chi Zhang; Shuo Cao; Xue Xia; Xin Tan; Lichengxi Si; Chenxin Wang; Xiaochun Wang; Chenglin Zhou; Tapani Ristaniemi; Fengyu Cong;
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1. Multi-domain Features of the Non-phase-locked Component of Interest Extracted from ERP Data by Tensor Decomposition [J] . Brain topography . 2020,第1期

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
2. Extracting multi-mode ERP features using fifth-order nonnegative tensor decomposition [J] . Wang Deqing, Zhu Yongjie, Ristaniemi Tapani, Journal of Neuroscience Methods . 2018,第期

机译：使用第五阶非负张量分解提取多模式ERP功能
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 (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
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. Optimization of Block-Based Tensor Decompositions through Sub-Tensor Impact Graphs and Applications to Dynamicity in Data and User Focus [D] . Huang, Shengyu. 2021

机译：通过子张量冲击图和应用于数据和用户焦点的动态性的基于块的张量分解的优化
6. Tensor decomposition-based and principal-component-analysis-based unsupervised feature extraction applied to the gene expression and methylation profiles in the brains of social insects with multiple castes [O] . Y.-H. Taguchi 2018

机译：基于张量分解和主成分分析的无监督特征提取技术应用于多种种姓社交昆虫大脑中的基因表达和甲基化分布
7. Multi-domain Feature of Event-Related Potential Extracted by Nonnegative Tensor Factorization: 5 vs. 14 Electrodes EEG Data [O] . Fengyu Cong, Anh Huy Phan, Piia Astikainen, 2013

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

Multi-domain Features of the Non-phase-locked Component of Interest Extracted from ERP Data by Tensor Decomposition

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