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
International audienceIn Engineering, the identification of a linear statistical model is omnipresen...
Tensor decomposition is a relevant topic, both for theoretical and applied mathematics, due to its i...
In this thesis we apply techniques from algebraic geometry to problems arising from optimization and...
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 audienceTensor decompositions permit to estimate in a deterministic way the parameters...
International audienceWe study the decomposition of a multi-symmetric tensor $T$ as a sum of powers ...
In many applications signals or data vary with respect to several parameters (such as spatial coord...
Tensor decomposition methods and multilinear algebra are powerful tools to cope with challenges arou...
We study the decomposition of a multivariate Hankel matrix as a sum of Hankel matrices of small r...
International audienceIn Engineering, the identification of a linear statistical model is omnipresen...
Tensor decomposition is a relevant topic, both for theoretical and applied mathematics, due to its i...
In this thesis we apply techniques from algebraic geometry to problems arising from optimization and...
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 audienceTensor decompositions permit to estimate in a deterministic way the parameters...
International audienceWe study the decomposition of a multi-symmetric tensor $T$ as a sum of powers ...
In many applications signals or data vary with respect to several parameters (such as spatial coord...
Tensor decomposition methods and multilinear algebra are powerful tools to cope with challenges arou...
We study the decomposition of a multivariate Hankel matrix as a sum of Hankel matrices of small r...
International audienceIn Engineering, the identification of a linear statistical model is omnipresen...
Tensor decomposition is a relevant topic, both for theoretical and applied mathematics, due to its i...
In this thesis we apply techniques from algebraic geometry to problems arising from optimization and...