A rising problem in the compression of Deep Neural Networks is how to re...
In this paper, the canonical polyadic (CP) decomposition of tensors that...
Most state of the art deep neural networks are overparameterized and exh...
This paper presents Cramér-Rao Lower Bound (CRLB) for the complex-valued...
We address the problem of extracting one independent component from an
i...
In CANDECOMP/PARAFAC tensor decomposition, degeneracy often occurs in so...
A novel algorithm is proposed for CANDECOMP/PARAFAC tensor decomposition...
A difficult task in modeling with Bayesian networks is the elicitation o...