IEEE

Robust Non-Negative Matrix Tri-Factorization with Dual Hyper-Graph Regularization

Abstract: Non-negative Matrix Factorization (NMF) has been an ideal tool for machine learning. Non-negative Matrix Tri-Factorization (NMTF) is a generalization of NMF that incorporates a third ...
IEEE

Robust Brain Tumor Diagnosis in Clinical MRI Scenarios: A Non-Negative Matrix Tri-Factorization Approach for Missing Modality Imputation

Abstract: Brain tumors are among the most common and aggressive diseases, often resulting in significantly reduced life expectancy at advanced stages. Consequently, effective treatment planning ...