Tag: low-rank approximation

A new recommender model called COMPASS learns a user-specific allocation over spectral bands instead of a fixed truncation rank, improving ...

Researchers have developed Riemannian and joint optimization methods that reduce bond dimensions in tensor networks by formulating tensor disentangling as ...

A new one-step tensor learning method uses a novel low-frequency nuclear norm to jointly filter noise and cluster incomplete multi-view ...