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A Minimax Mutual Information Scheme for Supervised Feature Extraction and Its Application to EEG-Based Brain-Computer Interfacing
2008
EURASIP Journal on Advances in Signal Processing
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This paper presents a novel approach for efficient feature extraction using mutual information (MI). ...
At each step, a new feature is created that attempts to maximize the MI between the new feature and the target class and to minimize the redundancy. We will refer to this algorithm as Minimax-MIFX. ...
BCI competition 2003-data set III To validate the proposed MI-based feature extraction and classification methods for brain-computer Interfaces, the algorithms were also applied to the data set III of ...
doi:10.1155/2008/673040
fatcat:txv45dalfng5raloj5lj27v2uy
Feature Extraction by Mutual Information Based on Minimal-Redundancy-Maximal-Relevance Criterion and Its Application to Classifying EEG Signal for Brain-Computer Interfaces
[chapter]
2011
Recent Advances in Brain-Computer Interface Systems
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The proposed method has been applied to the problem of the classification of electroencephalogram (EEG) signals for EEG-based brain-computer interface (BCI). ...
www.intechopen.com Feature Extraction by Mutual Information Based on Minimal-Redundancy-Maximal-Relevance Criterion and Its Application to Classifying… 69 All the above mentioned methods are based on the ...
Feature Extraction by Mutual Information Based on Minimal-Redundancy-Maximal-Relevance Criterion and Its Application to Classifying EEG Signal for Brain-Computer Interfaces, Recent Advances in Brain-Computer ...
doi:10.5772/13935
fatcat:hzqvl7ynbzbfjmfhmvsqlx2cqe
Signal Processing for Applications in Healthcare Systems
2008
EURASIP Journal on Advances in Signal Processing
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The paper entitled "A minimax mutual information scheme for supervised feature extraction and its application to EEG-based brain-computer interfacing" by F. Oveisi and A. ...
The authors develop a so-called minimax mutual information feature extraction (Minimax MIFX) which maximizes the mutual information between a new feature set and target classes while minimizing the data ...
The paper entitled "A minimax mutual information scheme for supervised feature extraction and its application to EEG-based brain-computer interfacing" by F. Oveisi and A. ...
doi:10.1155/2008/869364
fatcat:x6mgkrysrzegje7j6kdsst6ham
Theta phase coding in a network model of the entorhinal cortex layer II with entorhinal-hippocampal loop connections
2006
Cognitive Neurodynamics
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In this talk, I will begin with the useful behavior of NMF in EEG pattern classification, which plays a critical role in noninvasive brain computer interface (BCI). ...
In this study, we suggest a novel method for motion estimation in sub-pixel resolution. Hierarchical fast belief propagation was applied to reduce computational and memory complexity. ...
Acknowledgements This work was supported by a Grant-in-Aid for Science Research in a Priority Area "Super-Hierarchical Structures" from the Ministry of Education, Culture, Sports, Science and Technology ...
doi:10.1007/s11571-006-9003-8
pmid:19003510
pmcid:PMC2267667
fatcat:avihqfr6a5e7tm43lythi27n3a
2020 Index IEEE Signal Processing Letters Vol. 27
2020
IEEE Signal Processing Letters
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Kheirati Roonizi, A., LSP 2020 1924-1928 Attentive RNN-Based Network to Fuse 12-Lead ECG and Clinical Features for Improved Myocardial Infarction Diagnosis. ...
., +, LSP 2020 1745-1749 Wavelet Based Waveform Distortion Measures for Assessment of Denoised EEG Quality With Reference to Noise-Free EEG Signal. ...
doi:10.1109/lsp.2021.3055468
fatcat:wfdtkv6fmngihjdqultujzv4by
2021 Index IEEE Transactions on Automation Science and Engineering Vol. 18
2021
IEEE Transactions on Automation Science and Engineering
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Departments and other items may also be covered if they have been judged to have archival value. The Author Index contains the primary entry for each item, listed under the first author's name. ...
The primary entry includes the coauthors' names, the title of the paper or other item, and its location, specified by the publication abbreviation, year, month, and inclusive pagination. ...
Clustered Discriminant Regression for High-Dimensional Data Feature Extraction and Its Applications in Healthcare and Additive Manufacturing. ...
doi:10.1109/tase.2021.3120615
fatcat:ybfn4kfdvjfipbty7z3mocjjci
2021 Index IEEE Transactions on Neural Networks and Learning Systems Vol. 32
2021
IEEE Transactions on Neural Networks and Learning Systems
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Departments and other items may also be covered if they have been judged to have archival value. The Author Index contains the primary entry for each item, listed under the first author's name. ...
The primary entry includes the coauthors' names, the title of the paper or other item, and its location, specified by the publication abbreviation, year, month, and inclusive pagination. ...
., +, TNNLS Feb. 2021 589-603 Brain-computer interfaces Deep Representation-Based Domain Adaptation for Nonstationary EEG Classification. ...
doi:10.1109/tnnls.2021.3134132
fatcat:2e7comcq2fhrziselptjubwjme
2019 Index IEEE Transactions on Industrial Informatics Vol. 15
2019
IEEE Transactions on Industrial Informatics
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., +, TII Jan. 2019 45-53 Soft Computing-Based EEG Classification by Optimal Feature Selection and Neural Networks. ...
., +, TII Jan. 2019 527-536
Soft Computing-Based EEG Classification by Optimal Feature Selection
and Neural Networks. ...
doi:10.1109/tii.2020.2968165
fatcat:utk3ywxc6zgbdbfsys5f4otv7u
2020 Index IEEE Transactions on Industrial Informatics Vol. 16
2020
IEEE Transactions on Industrial Informatics
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Forests-Based Model for Ultra-Short-Term Prediction of PV Characteristics; TII Jan. 2020 202-214 Imran, A., see Hussain, B., TII Aug. 2020 4986-4996 Imran, M., see Fu, S., TII Sept. 2020 6013-6022 ...
Dustdar, S., Guest Editorial:Special Section on End-Edge-Cloud Orchestrated Algorithms, Systems and Applications; TII July 2020 4788-4790 Jiang, J., see Jia, G., 1993-2002 Jiang, J., see Liu, L., 2072 ...
., +, TII Jan. 2020 299-308
Feature extraction
A Coincidence-Filtering-Based Approach for CNNs in EEG-Based Recogni-
tion. ...
doi:10.1109/tii.2021.3053362
fatcat:blfvdtsc3fdstnk6qoaazskd3i
Implementation of Fog computing for reliable E-health applications
2015
2015 49th Asilomar Conference on Signals, Systems and Computers
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Finally, we will provide 'structured' CS algorithms for the joint estimation scheme and evaluate its performance. ...
The final evaluation is done with computer simulation of a multi-cell system. ...
limits on information rates of EEG-based Brain Computer Interfaces, and insights on how to achieve these limits. ...
doi:10.1109/acssc.2015.7421170
dblp:conf/acssc/CraciunescuMMKP15
fatcat:qm6mki5z6bcvrfimkmqjyrxaxm
Basque Conference on Cyber Physical Systems and Artificial Intelligence
2022
Zenodo
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This entry contains the proceedings of the Basque Conference on Cyber Physical Systems and Artificial Intelligence ...
Acknowledgements The authors would like to thank Aguas de Galicia from Xunta de Galicia for the support in the construction of the reference information for the multispectral images. ...
Acknowledgments I would like to thank to the Amped Software company for granting educational licenses for Amped FIVE and Amped Authenticate tools. ...
doi:10.5281/zenodo.7010718
fatcat:a4gzrvtkybdbpmycqmjkvryco4
Basque Conference on Cyber Physical Systems and Artificial Intelligence
2022
Zenodo
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This entry contains the proceedings of the Basque Conference on Cyber Physical Systems and Artificial Intelligence ...
Acknowledgements The authors would like to thank Aguas de Galicia from Xunta de Galicia for the support in the construction of the reference information for the multispectral images. ...
Acknowledgments I would like to thank to the Amped Software company for granting educational licenses for Amped FIVE and Amped Authenticate tools. ...
doi:10.5281/zenodo.7039276
fatcat:dyorjakurnaxxgvgoojcbpyd5a
Basque Conference on Cyber Physical Systems and Artificial Intelligence
2022
Zenodo
Preserved Fulltext
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The file type is application/pdf.
This entry contains the proceedings of the Basque Conference on Cyber Physical Systems and Artificial Intelligence ...
Acknowledgements The authors would like to thank Aguas de Galicia from Xunta de Galicia for the support in the construction of the reference information for the multispectral images. ...
Acknowledgments I would like to thank to the Amped Software company for granting educational licenses for Amped FIVE and Amped Authenticate tools. ...
doi:10.5281/zenodo.6568145
fatcat:lbwc7clohbeybmmdjhdlalxziu
Ping-pong beam training for reciprocal channels with delay spread
2015
2015 49th Asilomar Conference on Signals, Systems and Computers
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In this talk, we describe a new approach that analyzes the change in mutual information and MMSE associated with adding one measurement. ...
Finally, we will provide 'structured' CS algorithms for the joint estimation scheme and evaluate its performance. ...
limits on information rates of EEG-based Brain Computer Interfaces, and insights on how to achieve these limits. ...
doi:10.1109/acssc.2015.7421451
dblp:conf/acssc/CarvalhoA15
fatcat:mqokuvnh3zg45licnfbgxyvxfu
Basque Conference on Cyber Physical Systems and Artificial Intelligence
2022
Zenodo
Preserved Fulltext
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The file type is application/pdf.
This entry contains the proceedings of the Basque Conference on Cyber Physical Systems and Artificial Intelligence ...
Acknowledgements The authors would like to thank Aguas de Galicia from Xunta de Galicia for the support in the construction of the reference information for the multispectral images. ...
Acknowledgments I would like to thank to the Amped Software company for granting educational licenses for Amped FIVE and Amped Authenticate tools. ...
doi:10.5281/zenodo.6574965
fatcat:wclgcwfeuvglhnenzq7uvie5by
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