The Canonical Polyadic (CP) tensor decomposition is frequently used as a...
Analyzing multi-way measurements with variations across one mode of the
...
Tensor decompositions, such as CANDECOMP/PARAFAC (CP), are widely used i...
We propose networkmetrics, a new data-driven approach for monitoring,
tr...
Matrix factorization methods are extensively employed to understand comp...
Modeling variability in tensor decomposition methods is one of the chall...