21 citations · 26 across the 8 of their papers we have counts for
3 papers · 1 filter
Tight Lower Bound on the Tensor Rank based on the Maximally Square Unfolding
Giuseppe G. Calvi, Bruno Scalzo Dees, Danilo P. Mandic
Tensors decompositions are a class of tools for analysing datasets of high dimensionality and variety in a natural manner, with the Canonical Polyadic Decomposition (CPD) being a m…
The sum of tensor networks
Giuseppe G. Calvi, Ilia Kisil, Danilo P. Mandic
Tensor networks (TNs) have been gaining interest as multiway data analysis tools owing to their ability to tackle the curse of dimensionality and to represent tensors as smaller-sc…
Tensor Valued Common and Individual Feature Extraction: Multi-dimensional Perspective
Ilia Kisil, Giuseppe G. Calvi, Danilo P. Mandic
A novel method for common and individual feature analysis from exceedingly large-scale data is proposed, in order to ensure the tractability of both the computation and storage and…