[HTML][HTML] Tensor shape search for efficient compression of tensorized data and neural networks
Compressing big data and model parameters via tensor decomposition such as the tensor
train (TT) format has gained great success in recent years. The application of tensor …
train (TT) format has gained great success in recent years. The application of tensor …
Text mining with constrained tensor decomposition
Text mining, as a special case of data mining, refers to the estimation of knowledge or
parameters necessary for certain purposes, such as unsupervised clustering by observing …
parameters necessary for certain purposes, such as unsupervised clustering by observing …
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 …
[PDF][PDF] Text mining with constrained tensor decomposition?
C Jutten, M Babaie-Zadeh - sharif.edu
Text mining, as a special case of data mining, refers to the estimation of knowledge or
parameters necessary for certain purposes, such as unsupervised clustering by observing …
parameters necessary for certain purposes, such as unsupervised clustering by observing …