Yuanman Li
Biographic Data
| ID | 10055858 |
|---|---|
| NAME | Yuanman Li |
| GIVEN NAMES | Yuanman |
| FAMILY NAME | Li |
| SIGNATURE | LI Y |
| AFFILIATIONS | Shenzhen University |
| ORCID | 0000-0003-4526-3018 |
| VERIFIED | Yes |
| TOTAL WORKS | 1 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 1 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2022 |
| H-INDEX | 0 |
Robust Matrix Factorization via Minimum Weighted Error Entropy Criterion
Learning the intrinsic low-dimensional subspace from high-dimensional data is a key step for many social systems of artificial intelligence. In practical scenarios, the observed data are usually corrupted by many types of noise, which brings a great challenge for social systems to analyze data. As a commonly utilized subspace learning technique, robust low-rank matrix factorization (LRMF) focuses on recovering the underlying subspaces in a noisy …
No prominent works on this page.
Robust Matrix Factorization via Minimum Weighted Error Entropy Criterion
Learning the intrinsic low-dimensional subspace from high-dimensional data is a key step for many social systems of artificial intelligence. In practical scenarios, the observed data are usually corrupted by many types of noise, which brings a great challenge for social systems to analyze data. As a commonly utilized subspace learning technique, robust low-rank matrix factorization (LRMF) focuses on recovering the underlying subspaces in a noisy …
Algorithm (1 work) · Artificial Intelligence (1 work) · Artificial noise (1 work) · Blind Source Separation Techniques (1 work) · Computer Science (1 work) · Eigenvalues and eigenvectors (1 work) · Face and Expression Recognition (1 work) · Independent and identically distributed random variables (1 work) · Mathematics (1 work) · Matrix decomposition (1 work)