Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Salman Ahmadi Asl"'
Autor:
Salman Ahmadi-Asl, Stanislav Abukhovich, Maame G. Asante-Mensah, Andrzej Cichocki, Anh Huy Phan, Tohishisa Tanaka, Ivan Oseledets
Publikováno v:
IEEE Access, Vol 12, Pp 70742-70742 (2024)
In the above article [1], Equation (2) should be changed to
Externí odkaz:
https://doaj.org/article/c356c8a861c3476580bca9cc86a26a06
Autor:
Salman Ahmadi-Asl, Stanislav Abukhovich, Maame G. Asante-Mensah, Andrzej Cichocki, Anh Huy Phan, Tohishisa Tanaka, Ivan Oseledets
Publikováno v:
IEEE Access, Vol 9, Pp 28684-28706 (2021)
Big data analysis has become a crucial part of new emerging technologies such as the internet of things, cyber-physical analysis, deep learning, anomaly detection, etc. Among many other techniques, dimensionality reduction plays a key role in such an
Externí odkaz:
https://doaj.org/article/95c90df23e9a4abdb43208779958a3c9
Autor:
Salman Ahmadi-Asl, Cesar F. Caiafa, Andrzej Cichocki, Anh Huy Phan, Toshihisa Tanaka, Ivan Oseledets, Jun Wang
Publikováno v:
IEEE Access, Vol 9, Pp 150809-150838 (2021)
Cross Tensor Approximation (CTA) is a generalization of Cross/skeleton matrix and CUR Matrix Approximation (CMA) and is a suitable tool for fast low-rank tensor approximation. It facilitates interpreting the underlying data tensors and decomposing/co
Externí odkaz:
https://doaj.org/article/27dcdaa27af141ec971b8decec419b56
Autor:
Salman Ahmadi-Asl
Publikováno v:
Communications on Applied Mathematics and Computation.
The existing randomized algorithms need an initial estimation of the tubal rank to compute a tensor singular value decomposition. This paper proposes a new randomized fixedprecision algorithm which for a given third-order tensor and a prescribed appr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::84a4c74587d3d5fa3f8ea715ac61075d
https://doi.org/10.1007/s42967-022-00218-w
https://doi.org/10.1007/s42967-022-00218-w
Autor:
Shini Girija, Thar Baker, Naveed Ahmed, Ahmed M. Khedr, Zaher Al Aghbari, Ashish Jha, Konstantin Sobolev, Salman Ahmadi Asl, Anh-Huy Phan
Publikováno v:
Internet of Things. 22:100793
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::50840057eaf627a7866628dcadd46046
https://doi.org/10.1016/j.iot.2023.100793
https://doi.org/10.1016/j.iot.2023.100793
Autor:
Salman Ahmadi-Asl, Maame Gyamfua Asante-Mensah, Andrzej Cichocki, Anh Huy Phan, Ivan Oseledets, Jun Wang
Publikováno v:
Signal Processing. :109121
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eb92d92ca9446a01639fe996ae7afe15
https://doi.org/10.1016/j.sigpro.2023.109121
https://doi.org/10.1016/j.sigpro.2023.109121
Autor:
Stanislav Abukhovich, Ivan V. Oseledets, Maame G. Asante-Mensah, Andrzej Cichocki, Salman Ahmadi-Asl, Anh Huy Phan, Toshihisa Tanaka
Publikováno v:
IEEE Access, Vol 9, Pp 28684-28706 (2021)
Big data analysis has become a crucial part of new emerging technologies such as the internet of things, cyber-physical analysis, deep learning, anomaly detection, etc. Among many other techniques, dimensionality reduction plays a key role in such an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::23d8d2c35af24a0a470c551188dd8035
https://ieeexplore.ieee.org/document/9350569/
https://ieeexplore.ieee.org/document/9350569/
Autor:
Anh Huy Phan, Andrzej Cichocki, Toshihisa Tanaka, Ivan V. Oseledets, Cesar F. Caiafa, Jun Wang, Salman Ahmadi-Asl
Publikováno v:
CONICET Digital (CONICET)
Consejo Nacional de Investigaciones Científicas y Técnicas
instacron:CONICET
SEDICI (UNLP)
Universidad Nacional de La Plata
instacron:UNLP
IEEE Access, Vol 9, Pp 150809-150838 (2021)
Consejo Nacional de Investigaciones Científicas y Técnicas
instacron:CONICET
SEDICI (UNLP)
Universidad Nacional de La Plata
instacron:UNLP
IEEE Access, Vol 9, Pp 150809-150838 (2021)
Cross Tensor Approximation (CTA) is a generalization of Cross/skeleton matrix and CUR Matrix Approximation (CMA) and is a suitable tool for fast low-rank tensor approximation. It facilitates interpreting the underlying data tensors and decomposing/co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dd332ea322cdc522c7158b2d26b1b41a
http://sedici.unlp.edu.ar/handle/10915/129981
http://sedici.unlp.edu.ar/handle/10915/129981
Publikováno v:
International Journal of Computer Mathematics. 95:427-443
Recently, Salkuyeh and Fahim [A new iterative refinement of the solution of ill-conditioned linear system of equations, Int. Comput. Math. 88(5) (2011), pp. 950–956] have proposed a two-step iterat...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cc311f5c357590349b6f64e1a6561bde
https://doi.org/10.1080/00207160.2017.1290436
https://doi.org/10.1080/00207160.2017.1290436
Publikováno v:
Machine Learning: Science and Technology. 2:035008
Completing a data tensor with structured missing components is a challenging task where the missing components are not distributed randomly but they admit some regular patterns, e.g. missing columns and rows or missing blocks/patches. Many of the exi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f03cac7f810e59ce221c656bbf536590
https://doi.org/10.1088/2632-2153/abcb4f
https://doi.org/10.1088/2632-2153/abcb4f