In the paper, we address the important problem of tensor decompositions which can be seen as a generalisation of Singular Value Decomposition for matrices. We consider general multilinear and multihomogeneous tensors. We show how to reduce the problem to a truncated moment matrix problem and give a new criterion for flat extension of Quasi-Hankel matrices. We connect this criterion to the commutation characterisation of border bases. A new algorithm is described which applies for general multihomogeneous tensors, extending the approach of J.J. Sylvester on binary forms. An example illustrates the algebraic operations involved in this approach and how the decomposition can be recovered from eigenvector computation
International audienceThis paper presents a new scheme to perform the canonical polyadic decompositi...
Decompositions of higher-order tensors are becoming more and more important in signal processing, da...
special session "Tensor Computations in Linear and Multilinear Algebra"Tensor decompositions permit ...
In the paper, we address the important problem of tensor decompositions which can be seen as a gener...
In the paper, we address the important problem of tensor decompositions which can be seen as a gener...
International audienceIn the paper, we address the important problem of tensor decomposition which c...
SubmittedInternational audienceThe tensor decomposition addressed in this paper may be seen as a gen...
AbstractWe present an algorithm for decomposing a symmetric tensor, of dimension n and order d, as a...
We discuss a multilinear generalization of the singular value decomposition. There is a strong analo...
AbstractA general proposal is presented for fast algorithms for multilevel structured matrices. It i...
International audienceWe present an algorithm for decomposing a symmetric tensor, of dimension n and...
A general proposal is presented for fast algorithms for multilevel structured matrices. It is based ...
Polynomial optimization considers optimization problems defined by polynomials. In contrast to class...
In this note we prove a generalization of the flat extension theorem of Curto and Fialkow [4] for tr...
In numerical multilinear algebra important progress has recently been made. It has been recognized t...
International audienceThis paper presents a new scheme to perform the canonical polyadic decompositi...
Decompositions of higher-order tensors are becoming more and more important in signal processing, da...
special session "Tensor Computations in Linear and Multilinear Algebra"Tensor decompositions permit ...
In the paper, we address the important problem of tensor decompositions which can be seen as a gener...
In the paper, we address the important problem of tensor decompositions which can be seen as a gener...
International audienceIn the paper, we address the important problem of tensor decomposition which c...
SubmittedInternational audienceThe tensor decomposition addressed in this paper may be seen as a gen...
AbstractWe present an algorithm for decomposing a symmetric tensor, of dimension n and order d, as a...
We discuss a multilinear generalization of the singular value decomposition. There is a strong analo...
AbstractA general proposal is presented for fast algorithms for multilevel structured matrices. It i...
International audienceWe present an algorithm for decomposing a symmetric tensor, of dimension n and...
A general proposal is presented for fast algorithms for multilevel structured matrices. It is based ...
Polynomial optimization considers optimization problems defined by polynomials. In contrast to class...
In this note we prove a generalization of the flat extension theorem of Curto and Fialkow [4] for tr...
In numerical multilinear algebra important progress has recently been made. It has been recognized t...
International audienceThis paper presents a new scheme to perform the canonical polyadic decompositi...
Decompositions of higher-order tensors are becoming more and more important in signal processing, da...
special session "Tensor Computations in Linear and Multilinear Algebra"Tensor decompositions permit ...