Graph Regularized Non-negative Bi-level Form of Triple Decomposition for Data Representation
A graph regularized non-negative bi-level form of triple decomposition (GNBTD) model based on TriD that can extract the low-dimensional part-based representations while maintaining geometrical information from high-dimensional tensor data is proposed.