Work

A generalizable framework for low-rank tensor completion with numerical priors

Year: 2024

Type: article

Source: Pattern Recognition

DOI: 10.1016/j.patcog.2024.110678

Authors: Shiran Yuan, Kaizhu Huang

Institutions: Duke University, Duke Kunshan University

Language: English

Topic: Tensor decomposition and applications

Subfield: Computational Mathematics

Field: Mathematics

Domain: Physical Sciences

Open Access status: green

Funder: Duke Kunshan University

OpenAlex ID: W4399566314

FWCI: 2.062

Cites: 58

Cited by: 11

Related to: 10