Clustering a union of low-rank subspaces of different dimensions with missing data

Author:

Ashraphijuo Morteza,Wang Xiaodong

Funder

NSF

ONR

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference21 articles.

1. On deterministic sampling patterns for robust low-rank matrix completion;Ashraphijuo;IEEE Signal Process. Lett.,2018

2. Characterization of rank-constrained feasibility problems via a finite number of convex programs;Ashraphijuo,2016

3. Fundamental conditions for low-cp-rank tensor completion;Ashraphijuo;J. Mach. Learn. Res.,2017

4. A characterization of sampling patterns for union of low-rank subspaces retrieval problem;Ashraphijuo;Int. Symp. Artif. Intell. Math.,2018

5. An approximation of the CP-rank of a partially sampled tensor;Ashraphijuo,2017

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