Simultaneous Rectification and Alignment via Robust Recovery of Low-rank Tensors

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Summary

This work proposes a general method for recovering low-rank three-order tensors, in which the data can be deformed by some unknown transformation and corrupted by arbitrary sparse errors.

Type
article
Published
2013-12-05
Cited by
28
References
16

Keywords

Tensor (intrinsic definition), Computer science, Minification, Algorithm, Convergence (economics)

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