Tensor recovery from noisy and multi-level quantized measurements

Tensor recovery from noisy and multi-level quantized measurements

Abstract Higher-order tensors can represent scores in a rating system, frames in a video, and images of the same subject. In practice, the measurements are often highly quantized due to the sampling strategies or the quality of devices. Existing works on tensor recovery have focused on data losses a...

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Bibliographic Details
Main Authors: Ren Wang, Meng Wang, Jinjun Xiong
Format: Article
Language:English
Published: SpringerOpen 2020-09-01
Series:EURASIP Journal on Advances in Signal Processing
Subjects:
Tensor recovery
CP decomposition
Low-rank
Multi-level quantization
Tensor singular value decomposition
Nonconvex optimization
Online Access:http://link.springer.com/article/10.1186/s13634-020-00698-z

Internet

http://link.springer.com/article/10.1186/s13634-020-00698-z

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