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Empirical validation of task-related component analysis reformulation for computational complexity reduction
Chiang,Kuan Jung1,2; Wong,Chi Man3; Wan,Feng3; Jung,Tzyy Ping2; Nakanishi,Masaki2
2023-07-10
MediaElsevier Ltd
DOI10.1016/j.bspc.2023.105220
KeywordBiomedical Data Analysis Electroencephalogram Functional Near-infrared Spectroscopy Generalized Eigenvalue Problem Task-related Component Analysis
Language英語English
URLView the original
Scopus ID2-s2.0-85164217672
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Document TypeOther
CollectionDEPARTMENT OF ELECTRICAL AND COMPUTER ENGINEERING
Co-First AuthorChiang,Kuan Jung
Corresponding AuthorNakanishi,Masaki
Affiliation1.Department of Computer Science and Engineering,University of California San Diego,La Jolla,9500 Gilman Dr,92093,United States
2.Swartz Center for Computational Neuroscience,Institute for Neural Computation,University of California San Diego,La Jolla,9500 Gilman Dr,92093,United States
3.Department of Electrical and Computer Engineering,University of Macau,Taipa,Avenida da Universidade,Macao
Recommended Citation
GB/T 7714
Chiang,Kuan Jung,Wong,Chi Man,Wan,Feng,et al. Empirical validation of task-related component analysis reformulation for computational complexity reduction. 2023-07-10.
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