A Novel Tensor Ring Sparsity Measurement for Image Completion
As a promising data analysis technique, sparse modeling has gained widespread traction in
the field of image processing, particularly for image recovery. The matrix rank, served as a …
the field of image processing, particularly for image recovery. The matrix rank, served as a …
Generalized latent multi-view clustering with tensorized bipartite graph
Tensor-based multi-view spectral clustering algorithms use tensors to model the structure of
multi-dimensional data to take advantage of the complementary information and high-order …
multi-dimensional data to take advantage of the complementary information and high-order …
Statistical guaranteed noisy tensor recovery by fusing low-rankness on all orientations in frequency–original domains
Low-rank tensor recovery faces challenges in accurately defining the low-rankness of a
tensor. Most existing definitions typically focus on one domain alone—either the original or …
tensor. Most existing definitions typically focus on one domain alone—either the original or …
Lightweight tensorial convolutional neural network for lunar impact crater detection
Y Qiu, Y Liang, X Chen, Z Zhang, S Xie… - Advances in Space …, 2024 - Elsevier
Impact crater detection is one of the most important and critical studies of the geological
history of planetary surfaces. Recent literature on crater identification demonstrates the …
history of planetary surfaces. Recent literature on crater identification demonstrates the …