Metaverse enables users to communicate, collaborate and socialize with e...
Avatars, as promising digital assistants in Vehicular Metaverses, can en...
For vehicular metaverses, one of the ultimate user-centric goals is to
o...
Tensor completion is a fundamental tool for incomplete data analysis, wh...
Distinguishing the importance of views has proven to be quite helpful fo...
Tensor robust principal component analysis (TRPCA) is a fundamental mode...
As a distributed learning approach, federated learning trains a shared
l...
Tensor ring (TR) decomposition is a powerful tool for exploiting the low...
In tensor completion, the latent nuclear norm is commonly used to induce...
Data collection and annotation are time-consuming in machine learning,
e...
Tensor decomposition has been widely applied to find low-rank representa...
Nonsmooth Nonnegative Matrix Factorization (nsNMF) is capable of produci...
The plenty information from multiple views data as well as the complemen...
Tensor networks have in recent years emerged as the powerful tools for
s...
Due to its promising classification performance, sparse representation b...
Sparse subspace clustering (SSC), as one of the most successful subspace...
Nonnegative Tucker decomposition (NTD) is a powerful tool for the extrac...