SubmittedInternational audienceThe tensor decomposition addressed in this paper may be seen as a generalisation of Singular Value Decomposition of 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. It applies for general multihomogeneous tensors, extending the approach of J.J. Sylvester to binary forms. An example illustrates the algebraic operations involved in this approach and how the decomposition can be recovered from eigenvector computation
Tensor decomposition is a relevant topic, both for theoretical and applied mathematics, due to its i...
International audienceIn Engineering, the identification of a linear statistical model is omnipresen...
International audienceThis paper presents a new scheme to perform the canonical polyadic decompositi...
SubmittedInternational audienceThe tensor decomposition addressed in this paper may be seen as a gen...
International audienceIn the paper, we address the important problem of tensor decomposition which c...
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 audienceWe present an algorithm for decomposing a symmetric tensor, of dimension n and...
AbstractWe present an algorithm for decomposing a symmetric tensor, of dimension n and order d, as a...
Multidimensional data, or tensors, arise natura lly in data analysis applications. Hitchcock&##39;s ...
International audienceWe study the decomposition of a multi-symmetric tensor $T$ as a sum of powers ...
International audienceTensor decompositions permit to estimate in a deterministic way the parameters...
Tensor decomposition methods and multilinear algebra are powerful tools to cope with challenges arou...
In many applications signals or data vary with respect to several parameters (such as spatial coord...
We study the decomposition of a multivariate Hankel matrix as a sum of Hankel matrices of small r...
Tensor decomposition is a relevant topic, both for theoretical and applied mathematics, due to its i...
International audienceIn Engineering, the identification of a linear statistical model is omnipresen...
International audienceThis paper presents a new scheme to perform the canonical polyadic decompositi...
SubmittedInternational audienceThe tensor decomposition addressed in this paper may be seen as a gen...
International audienceIn the paper, we address the important problem of tensor decomposition which c...
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 audienceWe present an algorithm for decomposing a symmetric tensor, of dimension n and...
AbstractWe present an algorithm for decomposing a symmetric tensor, of dimension n and order d, as a...
Multidimensional data, or tensors, arise natura lly in data analysis applications. Hitchcock&##39;s ...
International audienceWe study the decomposition of a multi-symmetric tensor $T$ as a sum of powers ...
International audienceTensor decompositions permit to estimate in a deterministic way the parameters...
Tensor decomposition methods and multilinear algebra are powerful tools to cope with challenges arou...
In many applications signals or data vary with respect to several parameters (such as spatial coord...
We study the decomposition of a multivariate Hankel matrix as a sum of Hankel matrices of small r...
Tensor decomposition is a relevant topic, both for theoretical and applied mathematics, due to its i...
International audienceIn Engineering, the identification of a linear statistical model is omnipresen...
International audienceThis paper presents a new scheme to perform the canonical polyadic decompositi...