3 papers
cs.IT2016
Low rank tensor recovery via iterative hard thresholding
Holger Rauhut, Reinhold Schneider, Zeljka Stojanac
We study extensions of compressive sensing and low rank matrix recovery (matrix completion) to the recovery of low rank tensors of higher order from a small number of linear measur…
cs.IT2015
Tensor theta norms and low rank recovery
Holger Rauhut, Željka Stojanac
We study extensions of compressive sensing and low rank matrix recovery to the recovery of low rank tensors from incomplete linear information. While the reconstruction of low rank…
math.NA2014
Tensor completion in hierarchical tensor representations
Holger Rauhut, Reinhold Schneider, Zeljka Stojanac
Compressed sensing extends from the recovery of sparse vectors from undersampled measurements via efficient algorithms to the recovery of matrices of low rank from incomplete infor…