Low-rank Approximation Based non-Negative Multi-Way Array Decomposition on Event-Related potentials
暂无分享,去创建一个
Tapani Ristaniemi | Fengyu Cong | Andrzej Cichocki | Asoke K. Nandi | Qibin Zhao | Guoxu Zhou | Qiang Wu | Piia Astikainen | Jari K. Hietanen | A. Cichocki | J. Hietanen | P. Astikainen | A. Nandi | Guoxu Zhou | Qibin Zhao | F. Cong | T. Ristaniemi | Qiang Wu
[1] N. Sidiropoulos,et al. On the uniqueness of multilinear decomposition of N‐way arrays , 2000 .
[2] Shengli Xie,et al. Blind Spectral Unmixing Based on Sparse Nonnegative Matrix Factorization , 2011, IEEE Transactions on Image Processing.
[3] Andrzej Cichocki,et al. Nonnegative Matrix and Tensor Factorization T , 2007 .
[4] H. Adeli,et al. A spatio-temporal wavelet-chaos methodology for EEG-based diagnosis of Alzheimer's disease , 2008, Neuroscience Letters.
[5] Bülent Yener,et al. Computational analysis of epileptic focus localization , 2006 .
[6] Liqing Zhang,et al. Noninvasive BCIs: Multiway Signal-Processing Array Decompositions , 2008, Computer.
[7] Rasmus Bro,et al. Multiway analysis of epilepsy tensors , 2007, ISMB/ECCB.
[8] R. Oostenveld,et al. Independent EEG Sources Are Dipolar , 2012, PloS one.
[9] Richard A. Harshman,et al. Foundations of the PARAFAC procedure: Models and conditions for an "explanatory" multi-model factor analysis , 1970 .
[10] Haesun Park,et al. Fast Nonnegative Tensor Factorization with an Active-Set-Like Method , 2012, High-Performance Scientific Computing.
[11] Piia Astikainen,et al. This Reprint May Differ from the Original in Pagination and Typographic Detail. Event-related Potentials to Task-irrelevant Changes in Facial Expressions Behavioral and Brain Functions Event-related Potentials to Task-irrelevant Changes in Facial Expressions , 2022 .
[12] Liqing Zhang,et al. Regularized tensor discriminant analysis for single trial EEG classification in BCI , 2010, Pattern Recognit. Lett..
[13] Margot J. Taylor,et al. Early processing of the six basic facial emotional expressions. , 2003, Brain research. Cognitive brain research.
[14] Eric R. Ziegel,et al. Engineering Statistics , 2004, Technometrics.
[15] Shen Cong. New stability criteria of linear singular systems with time-varying delay , 2014, Int. J. Syst. Sci..
[16] J. Chang,et al. Analysis of individual differences in multidimensional scaling via an n-way generalization of “Eckart-Young” decomposition , 1970 .
[17] Bruno Rossion,et al. Does physical interstimulus variance account for early electrophysiological face sensitive responses in the human brain? Ten lessons on the N170 , 2008, NeuroImage.
[18] Lars Kai Hansen,et al. Parallel Factor Analysis as an exploratory tool for wavelet transformed event-related EEG , 2006, NeuroImage.
[19] Tapani Ristaniemi,et al. Multi-Domain Feature Extraction for Small Event-Related potentials through Nonnegative Multi-Way Array Decomposition from Low Dense Array EEG , 2013, Int. J. Neural Syst..
[20] Patrick Dupont,et al. Canonical decomposition of ictal scalp EEG reliably detects the seizure onset zone , 2007, NeuroImage.
[21] Heikki Lyytinen,et al. Benefits of Multi-Domain Feature of mismatch Negativity Extracted by Non-Negative Tensor Factorization from EEG Collected by Low-Density Array , 2012, Int. J. Neural Syst..
[22] Andrzej Cichocki,et al. Fast Nonnegative Matrix/Tensor Factorization Based on Low-Rank Approximation , 2012, IEEE Transactions on Signal Processing.
[23] F. L. Hitchcock. The Expression of a Tensor or a Polyadic as a Sum of Products , 1927 .
[24] T. Sejnowski,et al. Functionally Independent Components of the Late Positive Event-Related Potential during Visual Spatial Attention , 1999, The Journal of Neuroscience.
[25] Rasmus Bro,et al. The N-way Toolbox for MATLAB , 2000 .
[26] L. Tucker,et al. Some mathematical notes on three-mode factor analysis , 1966, Psychometrika.
[27] Bülent Yener,et al. Unsupervised Multiway Data Analysis: A Literature Survey , 2009, IEEE Transactions on Knowledge and Data Engineering.
[28] H. Adeli,et al. Automated EEG-Based Diagnosis of Neurological Disorders: Inventing the Future of Neurology , 2010 .
[29] Paavo H. T. Leppänen,et al. Dimension reduction: Additional benefit of an optimal filter for independent component analysis to extract event-related potentials , 2011, Journal of Neuroscience Methods.
[30] M. Crommelinck,et al. The perception of fearful and happy facial expression is modulated by anxiety: an event-related potential study , 2005, Neuroscience Letters.
[31] Haesun Park,et al. Fast Nonnegative Matrix Factorization: An Active-Set-Like Method and Comparisons , 2011, SIAM J. Sci. Comput..
[32] I. Kopriva,et al. Robust demarcation of basal cell carcinoma by dependent component analysis-based segmentation of multi-spectral fluorescence images. , 2010, Journal of photochemistry and photobiology. B, Biology.
[33] Andrzej Cichocki,et al. Tensor Decompositions: A New Concept in Brain Data Analysis? , 2013, ArXiv.
[34] Marina Schmid,et al. An Introduction To The Event Related Potential Technique , 2016 .
[35] R. Näätänen,et al. The mismatch negativity: an index of cognitive decline in neuropsychiatric and neurological diseases and in ageing. , 2011, Brain : a journal of neurology.
[36] Rasmus Bro,et al. MULTI-WAY ANALYSIS IN THE FOOD INDUSTRY Models, Algorithms & Applications , 1998 .
[37] U. Rajendra Acharya,et al. Automatic Identification of Epileptic and Background EEG Signals Using Frequency Domain Parameters , 2010, Int. J. Neural Syst..
[38] H. Adeli,et al. Intrahemispheric, interhemispheric, and distal EEG coherence in Alzheimer’s disease , 2011, Clinical Neurophysiology.
[39] Lars Kai Hansen,et al. ERPWAVELAB A toolbox for multi-channel analysis of time–frequency transformed event related potentials , 2007, Journal of Neuroscience Methods.
[40] Alberto Guillén,et al. Combination of Heterogeneous EEG Feature Extraction Methods and stacked Sequential Learning for Sleep Stage Classification , 2013, Int. J. Neural Syst..
[41] J. Kruskal. Three-way arrays: rank and uniqueness of trilinear decompositions, with application to arithmetic complexity and statistics , 1977 .
[42] Andrzej Cichocki,et al. Extended HALS algorithm for nonnegative Tucker decomposition and its applications for multiway analysis and classification , 2011, Neurocomputing.
[43] J. Joutsensalo,et al. Optimal Digital Filtering versus Difference Waves on the Mismatch Negativity in an Uninterrupted Sound Paradigm , 2007, Developmental neuropsychology.
[44] Andrzej Cichocki,et al. Hierarchical ALS Algorithms for Nonnegative Matrix and 3D Tensor Factorization , 2007, ICA.
[45] S Makeig,et al. Blind separation of auditory event-related brain responses into independent components. , 1997, Proceedings of the National Academy of Sciences of the United States of America.
[46] Andrzej Cichocki,et al. Rational variety mapping for contrast-enhanced nonlinear unsupervised segmentation of multispectral images of unstained specimen. , 2011, The American journal of pathology.
[47] Jie Li,et al. A Prior Neurophysiologic Knowledge Free Tensor-Based Scheme for Single Trial EEG Classification , 2009, IEEE Transactions on Neural Systems and Rehabilitation Engineering.
[48] Tapani Ristaniemi,et al. Event-related potentials to unattended changes in facial expressions : detection of regularity violations or encoding of emotions ? , 2013 .
[49] J. Pernier,et al. Stimulus Specificity of Phase-Locked and Non-Phase-Locked 40 Hz Visual Responses in Human , 1996, The Journal of Neuroscience.
[50] U. Rajendra Acharya,et al. Automatic Detection of Epileptic EEG Signals Using Higher Order cumulant Features , 2011, Int. J. Neural Syst..
[51] U. Rajendra Acharya,et al. Application of Recurrence Quantification Analysis for the Automated Identification of Epileptic EEG Signals , 2011, Int. J. Neural Syst..
[52] A. Cichocki,et al. Tensor decompositions for feature extraction and classification of high dimensional datasets , 2010 .
[53] H. Kiers,et al. Three-mode principal components analysis: choosing the numbers of components and sensitivity to local optima. , 2000, The British journal of mathematical and statistical psychology.
[54] L. K. Hansen,et al. Sparse Coding and Automatic Relevance Determination for Multiway models , 2009 .
[55] Hojjat Adeli,et al. Functional community analysis of brain: A new approach for EEG-based investigation of the brain pathology , 2011, NeuroImage.
[56] Tapani Ristaniemi,et al. Sequential nonnegative tucker decomposition on multi-way array of time-frequency transformed event-related potentials , 2012, 2012 IEEE International Workshop on Machine Learning for Signal Processing.
[57] Shengli Xie,et al. Online Blind Source Separation Using Incremental Nonnegative Matrix Factorization With Volume Constraint , 2011, IEEE Transactions on Neural Networks.
[58] I Daubechies,et al. Independent component analysis for brain fMRI does not select for independence , 2009 .
[59] Wim Van Paesschen,et al. Canonical Decomposition of Ictal Scalp EEG and Accurate Source Localisation: Principles and Simulation Study , 2007, Comput. Intell. Neurosci..
[60] Andrzej Cichocki,et al. Nonnegative Tensor Factorization for Continuous EEG Classification , 2007, Int. J. Neural Syst..
[61] Tamara G. Kolda,et al. Tensor Decompositions and Applications , 2009, SIAM Rev..
[62] Charles A Nelson,et al. An ERP study of emotional face processing in the adult and infant brain. , 2007, Child development.
[63] Johan Wagemans,et al. Single trial ERP reading based on parallel factor analysis. , 2013, Psychophysiology.
[64] Andrzej Cichocki,et al. Fast Local Algorithms for Large Scale Nonnegative Matrix and Tensor Factorizations , 2009, IEICE Trans. Fundam. Electron. Commun. Comput. Sci..
[65] Andrzej Cichocki,et al. Multilayer Nonnegative Matrix Factorization Using Projected Gradient Approaches , 2007, Int. J. Neural Syst..
[66] U. Rajendra Acharya,et al. Application of Intrinsic Time-Scale Decomposition (ITD) to EEG signals for Automated seizure Prediction , 2013, Int. J. Neural Syst..
[67] Zhaoshui He,et al. Minimum-Volume-Constrained Nonnegative Matrix Factorization: Enhanced Ability of Learning Parts , 2011, IEEE Transactions on Neural Networks.