We study the uniqueness of the decomposition of an nth order tensor (also called n-way array) into a sum of R rank-1 terms (where each term is the outer product of n vectors). This decomposition is also known as Parafac or Candecomp, and a general uniqueness condition for n = 3 was obtained by Kruskal in 1977 [Linear Algebra Appl., 18 (1977), pp. 95-138]. More recently, Kruskal's uniqueness condition has been generalized to n >= 3, and less restrictive uniqueness conditions have been obtained for the case where the vectors of the rank-1 terms are linearly independent in (at least) one of the n modes. We consider the decomposition with some form of symmetry, and prove necessary, sufficient, and necessary and sufficient uniqueness conditions ...
In this paper, we derive improved uniqueness conditions for a constrained version of the canonical o...
© 2015 Society for Industrial and Applied Mathematics. We find conditions that guarantee that a deco...
Copyright © by SIAM. Coupled tensor decompositions are becoming increasingly important in signal pro...
We study uniqueness of the decomposition of an nth order tensor (also called n-way array) into a sum...
We study the uniqueness of the decomposition of an nth order tensor (also called n-way array) into a...
We study uniqueness of the decomposition of an nth order tensor (also called n-way array) into a sum...
We study uniqueness of the decomposition of an nth order tensor (also called n-way array) into a sum...
We study uniqueness of the decomposition of an nth order tensor (also called n-way array) into a sum...
We study uniqueness of the decomposition of an nth order tensor (also called n-way array) into a sum...
Canonical Polyadic (also known as Candecomp/Parafac) Decomposition (CPD) of a higher-order tensor is...
In this paper, we derive improved uniqueness conditions for a constrained version of the canonical o...
Canonical polyadic decomposition (CPD) of a higher-order tensor is decomposition into a minimal numb...
In this paper, we derive improved uniqueness conditions for a constrained version of the canonical o...
In this paper, we derive improved uniqueness conditions for a constrained version of the canonical o...
In this paper, we derive improved uniqueness conditions for a constrained version of the canonical o...
In this paper, we derive improved uniqueness conditions for a constrained version of the canonical o...
© 2015 Society for Industrial and Applied Mathematics. We find conditions that guarantee that a deco...
Copyright © by SIAM. Coupled tensor decompositions are becoming increasingly important in signal pro...
We study uniqueness of the decomposition of an nth order tensor (also called n-way array) into a sum...
We study the uniqueness of the decomposition of an nth order tensor (also called n-way array) into a...
We study uniqueness of the decomposition of an nth order tensor (also called n-way array) into a sum...
We study uniqueness of the decomposition of an nth order tensor (also called n-way array) into a sum...
We study uniqueness of the decomposition of an nth order tensor (also called n-way array) into a sum...
We study uniqueness of the decomposition of an nth order tensor (also called n-way array) into a sum...
Canonical Polyadic (also known as Candecomp/Parafac) Decomposition (CPD) of a higher-order tensor is...
In this paper, we derive improved uniqueness conditions for a constrained version of the canonical o...
Canonical polyadic decomposition (CPD) of a higher-order tensor is decomposition into a minimal numb...
In this paper, we derive improved uniqueness conditions for a constrained version of the canonical o...
In this paper, we derive improved uniqueness conditions for a constrained version of the canonical o...
In this paper, we derive improved uniqueness conditions for a constrained version of the canonical o...
In this paper, we derive improved uniqueness conditions for a constrained version of the canonical o...
© 2015 Society for Industrial and Applied Mathematics. We find conditions that guarantee that a deco...
Copyright © by SIAM. Coupled tensor decompositions are becoming increasingly important in signal pro...