Nonnegative matrix factorization with combined kernels for small data representation
L Hu, X Chen, G Guo, L Chen - Expert Systems with Applications, 2022 - Elsevier
Kernel nonnegative matrix factorization (KNMF) has emerged as a promising nonlinear data
representation method, especially for applications with small sample sizes. Existing methods …
representation method, especially for applications with small sample sizes. Existing methods …
Nonnegative matrix factorization with combined kernels for small data representation
L Hu, X Chen, G Guo, L Chen - 2022 - dl.acm.org
Kernel nonnegative matrix factorization (KNMF) has emerged as a promising nonlinear data
representation method, especially for applications with small sample sizes. Existing methods …
representation method, especially for applications with small sample sizes. Existing methods …