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[PDF] Top 20 Symmetric tensors and symmetric tensor rank

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Symmetric tensors and symmetric tensor rank

Symmetric tensors and symmetric tensor rank

... , AND BERNARD MOURRAIN ‡ Abstract. A symmetric tensor is a higher order generalization of a symmetric ...of symmetric tensors in relation to a decomposition into a ... Voir le document complet

27

Real and complex rank for real symmetric tensors with low complex symmetric rank

Real and complex rank for real symmetric tensors with low complex symmetric rank

... The tensor decomposition problem into a minimal sum of rank-1 terms, is raising interest and attention from many applied areas as signal processing for telecommu- nications [13], independent ... Voir le document complet

9

Estimation of structured tensor models and recovery of low-rank tensors

Estimation of structured tensor models and recovery of low-rank tensors

... equivalent symmetric CCPD, and no other equivalent CCPDs ...R and N , their assessment can be done a priori and reused for several different hypercubic tensors of same order, ... Voir le document complet

239

Jacobi-type algorithm for low rank orthogonal approximation of symmetric tensors and its convergence analysis

Jacobi-type algorithm for low rank orthogonal approximation of symmetric tensors and its convergence analysis

... orthogonal tensor decomposition was first tackled in [7], but appeared more formally in [20], in which many examples were presented to illustrate the difficulties of this type of decom- ...exists, and the ... Voir le document complet

20

A Riemannian Newton Optimization Framework for the Symmetric Tensor Rank Approximation Problem

A Riemannian Newton Optimization Framework for the Symmetric Tensor Rank Approximation Problem

... THE SYMMETRIC TENSOR RANK APPROXIMATION PROBLEM ∗ RIMA KHOUJA † ‡ , HOUSSAM KHALIL † , AND BERNARD MOURRAIN ‡ ...The symmetric tensor rank approximation problem (STA) ... Voir le document complet

25

Computing symmetric rank for symmetric tensors

Computing symmetric rank for symmetric tensors

... catalecticant matrix M r,d−r defined in Definition 17 does not have maximal rank. Remark 22. Any divisor D ⊂ C d , with deg D ≤ d + 1, is such that dim < D >= deg D − 1. The following result has been proved ... Voir le document complet

27

Symmetric tensor rank with a tangent vector: a generic uniqueness theorem

Symmetric tensor rank with a tangent vector: a generic uniqueness theorem

... X and that for each Q ∈ τ (X) \ X there is a unique O ∈ X and a unique tangent vector ν to X at O such that Q ∈ hνi and that hνi \ {O} is the contact locus of the tangent space T Q τ (X) with τ (X) \ ... Voir le document complet

9

Canonical polyadic decomposition of 3rd order semi-nonnegative semi-symmetric tensors using LU and QR matrix factorizations

Canonical polyadic decomposition of 3rd order semi-nonnegative semi-symmetric tensors using LU and QR matrix factorizations

... rays) and matrices (2-way ...a tensor form directly, that is to say, the observation diversity is insufficient either in time or ...partially symmetric or Hermitian due to the special algebraic ... Voir le document complet

34

Sparse Representations and Low-Rank Tensor Approximation

Sparse Representations and Low-Rank Tensor Approximation

... the rank of T must be smaller than its ...decomposable tensors; this constraint is less restrictive, but quite difficult to impose and still too ... Voir le document complet

19

Mutual information for symmetric rank-one matrix estimation: A proof of the replica formula

Mutual information for symmetric rank-one matrix estimation: A proof of the replica formula

... conjecture and has interesting non-trivial implications on the computational complexity of these ...on rank-one symmetric matrix estimation, our proof technique is readily extendable to more generic ... Voir le document complet

14

Ideals of varieties parameterized by certain symmetric tensors

Ideals of varieties parameterized by certain symmetric tensors

... decomposable tensors (Definition 2.1). The problem of tensor decomposition has been studied studied for many years and by researchers in many scientific areas as Algebraic Geometry (see for example ... Voir le document complet

20

Stratification of the fourth secant variety of Veronese variety via the symmetric rank

Stratification of the fourth secant variety of Veronese variety via the symmetric rank

... m,d and n := n m,d ...forms, and as the variety that parameterizes projective classes of symmetric tensors T ∈ V ⊗d where V is a vector space of dimension m + 1 and T = v ⊗d for certain ... Voir le document complet

22

Line search and trust region strategies for canonical decomposition of semi-nonnegative semi-symmetric 3rd order tensors

Line search and trust region strategies for canonical decomposition of semi-nonnegative semi-symmetric 3rd order tensors

... nonnegative and symmetric in two ...search and trust ...calculus and product operator ...rithms, and has been evaluated for each algorithm, allowing to fairly compare their ...array ... Voir le document complet

38

Decomposition of Low Rank Multi-Symmetric Tensor

Decomposition of Low Rank Multi-Symmetric Tensor

... Partial Symmetric Tensor Decomposition Problem In this section we give the definition of a multi-symmetric tensor as a multi-homogeneous polynomial of a different positive degree at each ... Voir le document complet

13

On minimal decompositions of low rank symmetric tensors

On minimal decompositions of low rank symmetric tensors

... the rank of f ? Can we provide a minimal Waring decomposition? For general forms of fixed degree and fixed number of variables, the value of the rank is known due to the result of ...classical ... Voir le document complet

27

Detecting the Rank of a Symmetric Tensor

Detecting the Rank of a Symmetric Tensor

... the rank of the sought tensor decomposition. Yet, determining the rank of a given tensor is generally ...the rank of a symmetric ...problem and we derive a sufficient ... Voir le document complet

6

Symmetric tensor decomposition

Symmetric tensor decomposition

... In the following section, we recall the method deduced from Sylvester’s theorem to decompose a binary form. In section 2, we give three equivalent formulations of the same problem, used and studied in different ... Voir le document complet

21

Symmetric tensor decomposition

Symmetric tensor decomposition

... iterative and lack a guarantee of global convergence [19] ...the rank to be much smaller than generic ...cumulant tensor, we refer the reader to ... Voir le document complet

6

Skew-Symmetric Tensor Decomposition

Skew-Symmetric Tensor Decomposition

... tions, and write their general element in each ...skew-symmetric rank 3 for v; in fact vi + vj would have skew-symmetric rank ...7 and l ∈ C 8 is general ... Voir le document complet

25

SYMMETRIC SPACES AND THE KASHIWARA-VERGNE METHOD

SYMMETRIC SPACES AND THE KASHIWARA-VERGNE METHOD

... Kashiwara and Vergne was a break- through in the …eld of analysis on Lie ...group and its Lie algebra, the use of speci…c subgroups ...groups and conjec- tured two general identities allowing an ... Voir le document complet

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