The tensor track VII: From quantum gravity to artificial intelligence
M Ouerfelli, V Rivasseau, M Tamaazousti - arXiv preprint arXiv …, 2022 - arxiv.org
Assuming some familiarity with quantum field theory and with the tensor track approach that
one of us presented in the previous series Tensor Track I to VI, we provide, as usual, the …
one of us presented in the previous series Tensor Track I to VI, we provide, as usual, the …
[图书][B] A case-study of using tensors in multi-way electroencephalogram (EEG) data analysis
E Milligan-Williams - 2020 - search.proquest.com
Tensors are multi-dimensional arrays that can represent large datasets. Acquiring large data
sets has its pros and cons; a pro being the bigger the data set, the more information could …
sets has its pros and cons; a pro being the bigger the data set, the more information could …
SFBS: a Forward-Backward Splitting algorithm for constrained tensor decomposition
Tensors (multi-way arrays) and constrained tensor decomposition are very practical in
various applications. The existing constrained decomposition algorithms, which are based …
various applications. The existing constrained decomposition algorithms, which are based …