Zobrazeno 1 - 10
of 339
pro vyhledávání: '"Ren-Cang Li"'
Publikováno v:
Linear Algebra and its Applications. 656:483-509
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bb9366e2a08af36ae0b1c531d101f888
https://doi.org/10.1016/j.laa.2022.10.012
https://doi.org/10.1016/j.laa.2022.10.012
Publikováno v:
Numerische Mathematik. 152:587-629
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::95e6052022a281e7debb51b98d47b252
https://doi.org/10.1007/s00211-022-01322-y
https://doi.org/10.1007/s00211-022-01322-y
Publikováno v:
Science China Mathematics. 66:1087-1122
Principal component analysis (PCA) has been widely used in analyzing high-dimensional data. It converts a set of observed data points of possibly correlated variables into a set of linearly uncorrelated variables via an orthogonal transformation. To
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3b5669d522774afe2ad223eaf758ff71
https://doi.org/10.1007/s11425-021-1972-5
https://doi.org/10.1007/s11425-021-1972-5
Highly Accurate Latouche-Ramaswami Logarithmic Reduction Algorithm for Quasi-Birth-and-Death Process
Publikováno v:
Journal of Mathematical Study. 55:180-194
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::925877522098832e036b9f7464a4db8c
https://doi.org/10.4208/jms.v55n2.22.05
https://doi.org/10.4208/jms.v55n2.22.05
Autor:
Mei Yang null, Ren-Cang Li
Publikováno v:
Journal of Computational Mathematics. 40:715-731
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a0315390f10db740f1ae690f6e5d4b1a
https://doi.org/10.4208/jcm.2101-m2019-0243
https://doi.org/10.4208/jcm.2101-m2019-0243
Publikováno v:
Japan Journal of Industrial and Applied Mathematics. 40:95-107
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::39bfa96817046fa432f0e359e2dd64d2
https://doi.org/10.1007/s13160-022-00509-y
https://doi.org/10.1007/s13160-022-00509-y
Publikováno v:
Annals of Mathematical Sciences and Applications. 7:169-191
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::82aaeb2f4dcfa78143ed8fe15e883cce
https://doi.org/10.4310/amsa.2022.v7.n2.a2
https://doi.org/10.4310/amsa.2022.v7.n2.a2
Publikováno v:
IEEE Transactions on Neural Networks and Learning Systems. :1-15
In this article, we establish a family of subspace-based learning methods for multiview learning using least squares as the fundamental basis. Specifically, we propose a novel unified multiview learning framework called multiview orthonormalized part
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::895de68ca2fbc4a85e9ca9f0e4f6e25d
https://doi.org/10.1109/tnnls.2021.3116784
https://doi.org/10.1109/tnnls.2021.3116784
Publikováno v:
IEEE Transactions on Medical Imaging. 40:321-334
Brain source imaging is an important method for noninvasively characterizing brain activity using Electroencephalogram (EEG) or Magnetoencephalography (MEG) recordings. Traditional EEG/MEG Source Imaging (ESI) methods usually assume the source activi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::28863666074a0bd02d41645b58b0c1ef
https://doi.org/10.1109/tmi.2020.3025608
https://doi.org/10.1109/tmi.2020.3025608
Publikováno v:
Optimization Methods and Software. 35:787-807
Canonical correlation analysis (CCA) is a cornerstone of linear dimensionality reduction techniques that jointly maps two datasets to achieve maximal correlation. CCA has been widely used in applic...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8b4d7b68df9023cb7238b4fc873b9261
https://doi.org/10.1080/10556788.2019.1700257
https://doi.org/10.1080/10556788.2019.1700257