Abderrahmane Rahiche

Kernel Orthogonal Nonnegative Matrix Factorization: Application to Multispectral Document Image Decomposition

As a nonlinear extension of the standard nonnegative matrix factorization (NMF), kernel-based variants have demonstrated to be more effective for discovering meaningful latent features from raw data. However, many existing kernel methods allow only obtaining the basis matrix in the projected feature…