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cs.CV2022
Coarse to Fine: Image Restoration Boosted by Multi-Scale Low-Rank Tensor Completion
Rui Lin, Cong Chen, Ngai Wong
Existing low-rank tensor completion (LRTC) approaches aim at restoring a partially observed tensor by imposing a global low-rank constraint on the underlying completed tensor. Howe…
cs.CV2018
Matrix Product Operator Restricted Boltzmann Machines
Cong Chen, Kim Batselier, Ching-Yun Ko +1
A restricted Boltzmann machine (RBM) learns a probability distribution over its input samples and has numerous uses like dimensionality reduction, classification and generative mod…