6 citations · 6 across the 2 of their papers we have counts for
3 papers
eess.IV2023★ 6 cited
MultiHU-TD: Multifeature Hyperspectral Unmixing Based on Tensor Decomposition
Mohamad Jouni, Mauro Dalla Mura, Lucas Drumetz +1
Hyperspectral unmixing allows representing mixed pixels as a set of pure materials weighted by their abundances. Spectral features alone are often insufficient, so it is common to…
math.AG2009
Subtracting a best rank-1 approximation may increase tensor rank
Alwin Stegeman, Pierre Comon
It has been shown that a best rank-R approximation of an order-k tensor may not exist when R>1 and k>2. This poses a serious problem to data analysts using tensor decompositions. I…
stat.AP2009
Tensor Decompositions, State of the Art and Applications
Pierre Comon
In this paper, we present a partial survey of the tools borrowed from tensor algebra, which have been utilized recently in Statistics and Signal Processing. It is shown why the dec…