1. Home
2. Premium
3. IEEE ICASSP 2020 Virtual Conference May 2020
4. Low-Rank Tensor Ring Model For Completing Missing Visual Data

Low-Rank Tensor Ring Model For Completing Missing Visual Data

Collection:

IEEE ICASSP 2020 Virtual Conference May 2020

Low rank tensor factorization can be viewed as a higher order generalization of low-rank matrix factorization, both of which have been used for image and video representation and reconstruction from compressive measurements. In this paper, we present an a

• IEEE MemberUS $11.00
• Society MemberUS $0.00
• IEEE Student MemberUS $11.00
• Non-IEEE MemberUS $15.00

Purchase

Videos in this product

Low-Rank Tensor Ring Model For Completing Missing Visual Data

00:13:21

0 views

Low rank tensor factorization can be viewed as a higher order generalization of low-rank matrix factorization, both of which have been used for image and video representation and reconstruction from compressive measurements. In this paper, we present an a