Title
Incoherent Tensor Norms and Their Applications in Higher Order Tensor Completion.
Abstract
In this paper, we investigate the sample size requirement for a general class of nuclear norm minimization methods for higher order tensor completion. We introduce a class of tensor norms by allowing for different levels of coherence, which allows us to leverage the incoherence of a tensor. In particular, we show that a kth-order tensor of multilinear rank r and dimension d x · · · x d can be reco...
Year
DOI
Venue
2017
10.1109/TIT.2017.2724549
IEEE Transactions on Information Theory
Keywords
DocType
Volume
Tensile stress,Coherence,Approximation algorithms,Algorithm design and analysis,Minimization methods,Indexes
Journal
63
Issue
ISSN
Citations 
10
0018-9448
5
PageRank 
References 
Authors
0.41
13
2
Name
Order
Citations
PageRank
Ming Yuan119522.42
Cun-Hui Zhang217418.38