International audienceThe concept of tensor rank, introduced in the twenties, has been popularized at the beginning of the seventies. This has allowed to carry out Factor Analysis on arrays with more than two indices. The generic rank may be seen as an upper bound to the number of factors that can be extracted from a given tensor, with certain uniqueness conditions. We explain how to obtain numerically the generic rank of tensors of arbitrary dimensions, and compare it with the rare algebraic results already known at order three. In particular, we examine the cases of symmetric tensors, tensors with symmetric matrix slices, or tensors with free entries. Related applications include antenna array processing
Multidimensional data, or tensors, arise natura lly in data analysis applications. Hitchcock&##39;s ...
We study uniqueness of the decomposition of an nth order tensor (also called n-way array) into a sum...
International audienceIt has been shown that a best rank-R approximation of an order-k tensor may no...
International audienceThe concept of tensor rank was introduced in the twenties. In the seventies, w...
The concept of tensor rank was introduced in the 1920s. In the 1970s, when methods of Component Anal...
AbstractThe concept of tensor rank was introduced in the 20s. In the 70s, when methods of Component ...
AbstractWe study the generic and typical ranks of 3-tensors of dimension l×m×n using results from ma...
The typical 3-tensorial rank has been much studied over algebraically closed fields, but very little...
AbstractThe typical 3-tensorial rank has been much studied over algebraically closed fields, but ver...
AbstractA peculiar property of three-way arrays is that the rank they typically have does not necess...
Tensors, or multi-linear forms, are important objects in a variety of areas from analytics, to combi...
A peculiar property of three-way arrays is that the rank they typically have does not necessarily co...
International audienceIs has been shown that a best rank-R approximation of an order-k tensor may no...
International audienceA symmetric tensor is a higher order generalization of a symmetric matrix. In ...
International audienceWe introduce various notions of rank for a symmetric tensor, namely: rank, bor...
Multidimensional data, or tensors, arise natura lly in data analysis applications. Hitchcock&##39;s ...
We study uniqueness of the decomposition of an nth order tensor (also called n-way array) into a sum...
International audienceIt has been shown that a best rank-R approximation of an order-k tensor may no...
International audienceThe concept of tensor rank was introduced in the twenties. In the seventies, w...
The concept of tensor rank was introduced in the 1920s. In the 1970s, when methods of Component Anal...
AbstractThe concept of tensor rank was introduced in the 20s. In the 70s, when methods of Component ...
AbstractWe study the generic and typical ranks of 3-tensors of dimension l×m×n using results from ma...
The typical 3-tensorial rank has been much studied over algebraically closed fields, but very little...
AbstractThe typical 3-tensorial rank has been much studied over algebraically closed fields, but ver...
AbstractA peculiar property of three-way arrays is that the rank they typically have does not necess...
Tensors, or multi-linear forms, are important objects in a variety of areas from analytics, to combi...
A peculiar property of three-way arrays is that the rank they typically have does not necessarily co...
International audienceIs has been shown that a best rank-R approximation of an order-k tensor may no...
International audienceA symmetric tensor is a higher order generalization of a symmetric matrix. In ...
International audienceWe introduce various notions of rank for a symmetric tensor, namely: rank, bor...
Multidimensional data, or tensors, arise natura lly in data analysis applications. Hitchcock&##39;s ...
We study uniqueness of the decomposition of an nth order tensor (also called n-way array) into a sum...
International audienceIt has been shown that a best rank-R approximation of an order-k tensor may no...