REVIEW 1 cited by
Tensor-Tensor Product Toolbox
Not yet reviewed by Pith; the record is open.
This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.
SPECIMEN: schema-true, not a live event
T0 review · schema-true
One-sentence machine reading of the paper's core claim.
pith:XXXXXXXX · record.json · timestamp
read the original abstract
The tensor-tensor product (t-product) [M. E. Kilmer and C. D. Martin, 2011] is a natural generalization of matrix multiplication. Based on t-product, many operations on matrix can be extended to tensor cases, including tensor SVD, tensor spectral norm, tensor nuclear norm [C. Lu, et al., 2018] and many others. The linear algebraic structure of tensors are similar to the matrix cases. We develop a Matlab toolbox to implement several basic operations on tensors based on t-product. The toolbox is available at https://github.com/canyilu/tproduct.
Forward citations
Cited by 1 Pith paper
-
Neural subspaces, minimax entropy, and mean-field theory for networks of neurons
A distributional mean-field maximum entropy model that matches full probability distributions along selected projections describes 1000+ neuron hippocampal recordings without the phase-transition pathology of moment-m...
Discussion (0). Continue with ORCID to comment.