Domain Transfer Multiple Kernel Boosting for Classification of EEG Motor Imagery Signals
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Dezhi Zheng | Mengxi Dai | Shuai Wang | Rui Na | Shuailei Zhang | Shuailei Zhang | Dezhi Zheng | Shuai Wang | Rui Na | M. Dai
[1] Qiang Yang,et al. A Survey on Transfer Learning , 2010, IEEE Transactions on Knowledge and Data Engineering.
[2] David Lee,et al. Filter Bank Regularized Common Spatial Pattern Ensemble for Small Sample Motor Imagery Classification , 2018, IEEE Transactions on Neural Systems and Rehabilitation Engineering.
[3] Steven Lemm,et al. BCI competition 2003-data set III: probabilistic modeling of sensorimotor /spl mu/ rhythms for classification of imaginary hand movements , 2004, IEEE Transactions on Biomedical Engineering.
[4] M Congedo,et al. A review of classification algorithms for EEG-based brain–computer interfaces: a 10 year update , 2018, Journal of neural engineering.
[5] Sung Chan Jun,et al. Increasing session-to-session transfer in a brain–computer interface with on-site background noise acquisition , 2015, Journal of neural engineering.
[6] Dean J Krusienski,et al. Brain-computer interfaces in medicine. , 2012, Mayo Clinic proceedings.
[7] Cuntai Guan,et al. Regularizing Common Spatial Patterns to Improve BCI Designs: Unified Theory and New Algorithms , 2011, IEEE Transactions on Biomedical Engineering.
[8] Yoav Freund,et al. A decision-theoretic generalization of on-line learning and an application to boosting , 1997, EuroCOLT.
[9] Dezhi Zheng,et al. Transfer Kernel Common Spatial Patterns for Motor Imagery Brain-Computer Interface Classification , 2018, Comput. Math. Methods Medicine.
[10] Hans-Peter Kriegel,et al. Integrating structured biological data by Kernel Maximum Mean Discrepancy , 2006, ISMB.
[11] G. Pfurtscheller,et al. Optimal spatial filtering of single trial EEG during imagined hand movement. , 2000, IEEE transactions on rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society.
[12] Moritz Grosse-Wentrup,et al. Multitask Learning for Brain-Computer Interfaces , 2010, AISTATS.
[13] Bernhard Schölkopf,et al. Transfer Learning in Brain-Computer Interfaces , 2015, IEEE Computational Intelligence Magazine.
[14] Shiliang Sun,et al. A subject transfer framework for EEG classification , 2012, Neurocomputing.
[15] Chun-Hsiang Chuang,et al. An Inflatable and Wearable Wireless System for Making 32-Channel Electroencephalogram Measurements , 2016, IEEE Transactions on Neural Systems and Rehabilitation Engineering.
[16] Wojciech Samek,et al. Transferring Subspaces Between Subjects in Brain--Computer Interfacing , 2012, IEEE Transactions on Biomedical Engineering.
[17] S. Coyle,et al. Brain–computer interfaces: a review , 2003 .
[18] Xiuzhen Cheng,et al. Opportunistic Sensing in Wireless Sensor Networks: Theory and Application , 2014, IEEE Trans. Computers.
[19] Wei Jiang,et al. A New Motor Imagery EEG Classification Method FB-TRCSP+RF Based on CSP and Random Forest , 2018, IEEE Access.
[20] Ivor W. Tsang,et al. Domain Transfer Multiple Kernel Learning , 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[21] Bernhard Schölkopf,et al. Correcting Sample Selection Bias by Unlabeled Data , 2006, NIPS.
[22] Zhenyu Na,et al. Multi-Modal Cooperative Spectrum Sensing Based on Dempster-Shafer Fusion in 5G-Based Cognitive Radio , 2018, IEEE Access.
[23] Cuntai Guan,et al. EEG Data Space Adaptation to Reduce Intersession Nonstationarity in Brain-Computer Interface , 2013, Neural Computation.
[24] Guideline Thirteen: Guidelines for Standard Electrode Position Nomenclature , 1994, Journal of clinical neurophysiology : official publication of the American Electroencephalographic Society.
[25] Ivor W. Tsang,et al. Domain Transfer SVM for video concept detection , 2009, CVPR 2009.
[26] Yves Grandvalet,et al. Y.: SimpleMKL , 2008 .
[27] Wolfram Burgard,et al. Deep transfer learning for error decoding from non-invasive EEG , 2017, 2018 6th International Conference on Brain-Computer Interface (BCI).
[28] Klaus-Robert Müller,et al. Subject-independent mental state classification in single trials , 2009, Neural Networks.
[29] Qiang Yang,et al. Transfer Learning via Dimensionality Reduction , 2008, AAAI.
[30] G. Pfurtscheller,et al. The BCI competition III: validating alternative approaches to actual BCI problems , 2006, IEEE Transactions on Neural Systems and Rehabilitation Engineering.
[31] F. L. D. Silva,et al. Event-related EEG/MEG synchronization and desynchronization: basic principles , 1999, Clinical Neurophysiology.
[32] Yiming Jin,et al. Adaptive CSP with subspace alignment for subject-to-subject transfer in motor imagery brain-computer interfaces , 2018, 2018 6th International Conference on Brain-Computer Interface (BCI).
[33] Seungjin Choi,et al. Composite Common Spatial Pattern for Subject-to-Subject Transfer , 2009, IEEE Signal Processing Letters.