Aug 3, 2024 · This paper for the first time proposes a new logarithmic coupled penalty function designed to better explore the low-rank nature of tensors.
This paper for the first time proposes a new logarithmic coupled penalty function designed to better explore the low-rank nature of tensors.
This paper first introduces a new non-convex logarithmic coupled penalty (LCP) function that treats different singular values differently and preserves the ...
Tensorial bipartite graph clustering based on logarithmic coupled penalty · Chang Liu, Hongbing Zhang, +1 author. Yajing Li · Published in Pattern Recognition 1 ...
Tensorial bipartite graph clustering based on logarithmic coupled penalty ... Syst. Li, Multi-view bipartite graph clustering with coupled noisy feature ...
Second, we design log-based nonconvex approximations to both tensor rank and tensor sparsity, which are effective and more accurate than the convex ...
The incomplete multi-view clustering (IMVC) aims to explore the consensus and complementary information embedded in incomplete multi-view data, ...
Feb 20, 2019 · In [11], one-mode projections and bipartite graphs were used to model host communications, and clustering algorithm on the similarity ...
Jun 30, 2023 · Tensorial bipartite graph clustering based on logarithmic coupled penalty. Pattern Recogn. (IF 7.5)Chang Liu, Hongbing Zhang, Hongtao Fan ...
Graph-based subspace clustering methods have exhibited promising performance. ... Projection-based coupled tensor learning for robust multi-view clustering.
Missing: logarithmic | Show results with:logarithmic