What is Weighted Non-Negative Matrix Factorization (WNMF)

A group of structured NMF that enforces other characteristics or structures in the solution to NMF learning problem. WNMF attaches different weights to different elements regarding their relative importance. Weighed formulations are commonly modified versions of learning algorithms, which can be utilized to emphasize the relative importance of different components.

Image Inpainting as an Evolving Topic in Image Engineering

Yu-Jin Zhang (Department of Electronic Engineering, Tsinghua University, China)