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Coupled Matrix Tensor Factorization via a Semi-Algebraic So..:
, In:
2023 IEEE 9th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP)
,
Manina, Alla
;
Grasis, Mikus Janis
;
De Almeida, Andre L. F.
. - p. 431-435 , 2023
Link:
https://doi.org/10.1109/CAMSAP58249.2023.10403496
RT T1 <cTitle>2023 IEEE 9th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP)</cTitle>: T1 <Title>Coupled Matrix Tensor Factorization via a Semi-Algebraic Solution Based on Simultaneous Matrix Diagonalization (SECSI -CMTF)</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10403496&Exemplar=1&LAN=DE A1 Manina, Alla A1 Grasis, Mikus Janis A1 De Almeida, Andre L. F. A1 Haardt, Martin YR 2023 K1 Tensors K1 Magnetic separation K1 Approximation algorithms K1 Matrix decomposition K1 Task analysis K1 Optimization K1 Synthetic data K1 tensor decomposition K1 CP K1 coupled matrix-tensor factorization K1 semi-algebraic framework K1 SECSI K1 simultaneous diagonalization SP 431 OP 435 LK http://dx.doi.org/https://doi.org/10.1109/CAMSAP58249.2023.10403496 DO https://doi.org/10.1109/CAMSAP58249.2023.10403496 SF ELIB - SuUB Bremen
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