Jul 2, 2013 · Abstract:In this paper we propose novel methods for compression and recovery of multilinear data under limited sampling.

In this paper we propose novel methods for compression and recovery of multilinear data under limited sampling. We exploit the recently proposed tensor- ...

Novel Factorization Strategies for Higher Order Tensors: Implications for Compression and Recovery of Multi-linear Data · Zemin Zhang, G. Ely, +2 authors. M.

In this paper we propose novel methods for compression and recovery of mul- tilinear data under limited sampling. We exploit the recently proposed tensor-.

In this paper we propose novel methods for compression and recovery of multilinear data under limited sampling. We exploit the recently proposed tensor- ...

In this paper we propose novel methods for compression and recovery of multilinear data under limited sampling. Data Compression · Tensor Decomposition.

In this paper we propose novel methods for compression and recovery of multilinear data under limited sampling. We exploit the recently proposed tensor- ...

Shuchin Aeron, Ning Hao, Misha Kilmer, Novel Factorization Strategies for Higher Order Tensors: Implications for Compression and Recovery of Multi-linear Data.

Novel Factorization Strategies for Higher Order Tensors: Implications for Compression and Recovery of Multi-linear Data · Zemin ZhangG. ElyS. AeronNing HaoM ...

Jun 10, 2014 · In order to reduce the computational cost, we propose a multi-linear low-n-rank factorization model and apply the nonlinear Gauss–Seidal method ...