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科研机构
大连理工大学 [4]
自动化研究所 [2]
北京大学 [1]
内容类型
期刊论文 [6]
会议论文 [1]
发表日期
2015 [7]
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Multi-subject fMRI analysis via combined independent component analysis and shift-invariant canonical polyadic decomposition
期刊论文
JOURNAL OF NEUROSCIENCE METHODS, 2015, 卷号: 256, 页码: 127-140
作者:
Kuang, Li-Dan
;
Lin, Qiu-Hua
;
Gong, Xiao-Feng
;
Cong, Fengyu
;
Sui, Jing
收藏
  |  
浏览/下载:36/0
  |  
提交时间:2016/03/19
Canonical polyadic decomposition (CPD)
Independent component analysis (ICA)
Multi-subject fMRI data
Inter-subject variability
Tensor PICA
Shift-invariant CP (SCP)
Multi-subject fMRI analysis via combined independent component analysis and shift-invariant canonical polyadic decomposition
期刊论文
JOURNAL OF NEUROSCIENCE METHODS, 2015, 卷号: 256, 页码: 127-140
作者:
Kuang, Li-Dan
;
Lin, Qiu-Hua
;
Gong, Xiao-Feng
;
Cong, Fengyu
;
Sui, Jing
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2020/10/27
Canonical Polyadic Decomposition (Cpd)
Independent Component Analysis (Ica)
Multi-subject Fmri Data
Inter-subject Variability
Tensor Pica
Shift-invariant Cp (sCp)
Tensor Canonical Correlation Analysis for Multi-View Dimension Reduction
期刊论文
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2015
Luo, Yong
;
Tao, Dacheng
;
Ramamohanarao, Kotagiri
;
Xu, Chao
;
Wen, Yonggang
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2017/12/03
Multi-view
dimension reduction
canonical correlation analysis
tensor
high order statistics
MULTILABEL IMAGE CLASSIFICATION
ALTERNATING LEAST-SQUARES
DECOMPOSITION
MATRIX
VIEW
SELECTION
FEATURES
SETS
Tensor decomposition of EEG signals: A brief review
期刊论文
JOURNAL OF NEUROSCIENCE METHODS, 2015, 卷号: 248, 页码: 59-69
作者:
Cong, Fengyu
;
Lin, Qiu-Hua
;
Kuang, Li-Dan
;
Gong, Xiao-Feng
;
Astikainen, Piia
收藏
  |  
浏览/下载:13/0
  |  
提交时间:2019/12/09
Event-related potentials
EEG
Tensor decomposition
Canonical polyadic
Tucker
Brain
Signal
Nonnegative Mixture for Underdetermined Blind Source Separation Based on a Tensor Algorithm
期刊论文
CIRCUITS SYSTEMS AND SIGNAL PROCESSING, 2015, 卷号: 34, 页码: 2935-2950
作者:
Ge, Sunan
;
Han, Jie
;
Han, Min
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2019/12/09
Underdetermined blind source separation
Hierarchical alternating least squares
Canonical decomposition
Minimum mean-squared error beamformer
Non-Orthogonal Tensor Diagonalization Based on Successive Rotations and LU Decomposition
会议论文
11th International Conference on Natural Computation (ICNC) / 12th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD), Zhangjiajie, PEOPLES R CHINA
作者:
Liu, Yingliang
;
Gong, Xiaofeng
;
Lin, Qiuhua
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2019/12/09
Tensor diagonalization
LU decomposition
canonical polyadic decomposition
blind source separation
Multi-subject fMRI analysis via combined independent component analysis and shift-invariant canonical polyadic decomposition
期刊论文
JOURNAL OF NEUROSCIENCE METHODS, 2015, 卷号: 256, 页码: 127-140
作者:
Kuang, Li-Dan
;
Lin, Qiu-Hua
;
Gong, Xiao-Feng
;
Cong, Fengyu
;
Sui, Jing
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2019/12/09
Canonical polyadic decomposition (CPD)
Independent component analysis (ICA)
Multi-subject fMRI data
Inter-subject variability
Tensor PICA
Shift-invariant CP (SCP)
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