The Schmidt-Eckart-Young theorem for matrices states that the optimal rank-r approximation to a matrix in the Euclidean topology is obtained by retaining the first r terms from the singular value decomposition of that matrix. In this talk, we consider a generalization of this optimal truncation property to the CANDECOMP/PARAFAC decomposition of tensors and establish a necessary orthogonality condition. We prove that this condition is not satisfied at least by an open set of positive Lebesgue measure. We prove, moreover, that for tensors of small rank this orthogonality condition can be satisfied on only a set of tensors of Lebesgue measure zero.status: publishe
Given a tensor f in a Euclidean tensor space, we are interested in the critical points of the distan...
Given a tensor f in a Euclidean tensor space, we are interested in the critical points of the distan...
Given a tensor f in a Euclidean tensor space, we are interested in the critical points of the distan...
The Schmidt-Eckart-Young theorem for matrices states that the optimal rank-r approximation to a matr...
The Schmidt-Eckart-Young theorem for matrices states that the optimal rank-r approximation of a matr...
The Schmidt-Eckart-Young theorem for matrices states that the optimal rank-r approximation to a matr...
Joint work with Jan Draisma and Giorgio Ottaviani. Given a tensor f in a Euclidean tensor space, we ...
Joint work with Jan Draisma and Giorgio Ottaviani. Given a tensor f in a Euclidean tensor space, we ...
Given a tensor f in a Euclidean tensor space, we are interested in the critical points of the distan...
\u3cp\u3eGiven a tensor f in a Euclidean tensor space, we are interested in the critical points of t...
Given a tensor f in a Euclidean tensor space, we are interested in the critical points of the distan...
Hitchcock's rank decompositon---also known as the CANDECOMP/PARAFAC tensor decomposition---may be co...
The tensor rank decomposition problem consists of recovering the unique parameters of the decomposit...
The tensor rank decomposition problem consists of recovering the unique parameters of the decomposit...
Given a tensor f in a Euclidean tensor space, we are interested in the critical points of the distan...
Given a tensor f in a Euclidean tensor space, we are interested in the critical points of the distan...
Given a tensor f in a Euclidean tensor space, we are interested in the critical points of the distan...
Given a tensor f in a Euclidean tensor space, we are interested in the critical points of the distan...
The Schmidt-Eckart-Young theorem for matrices states that the optimal rank-r approximation to a matr...
The Schmidt-Eckart-Young theorem for matrices states that the optimal rank-r approximation of a matr...
The Schmidt-Eckart-Young theorem for matrices states that the optimal rank-r approximation to a matr...
Joint work with Jan Draisma and Giorgio Ottaviani. Given a tensor f in a Euclidean tensor space, we ...
Joint work with Jan Draisma and Giorgio Ottaviani. Given a tensor f in a Euclidean tensor space, we ...
Given a tensor f in a Euclidean tensor space, we are interested in the critical points of the distan...
\u3cp\u3eGiven a tensor f in a Euclidean tensor space, we are interested in the critical points of t...
Given a tensor f in a Euclidean tensor space, we are interested in the critical points of the distan...
Hitchcock's rank decompositon---also known as the CANDECOMP/PARAFAC tensor decomposition---may be co...
The tensor rank decomposition problem consists of recovering the unique parameters of the decomposit...
The tensor rank decomposition problem consists of recovering the unique parameters of the decomposit...
Given a tensor f in a Euclidean tensor space, we are interested in the critical points of the distan...
Given a tensor f in a Euclidean tensor space, we are interested in the critical points of the distan...
Given a tensor f in a Euclidean tensor space, we are interested in the critical points of the distan...
Given a tensor f in a Euclidean tensor space, we are interested in the critical points of the distan...