Tucker Decomposition Based on a Tensor Train of Coupled and Constrained CP Cores
Tucker Decomposition Based on a Tensor Train of Coupled and Constrained CP Cores
Many real-life signal-based applications use the Tucker decomposition of a high dimensional/order tensor. A well-known problem with the Tucker model is that its number of entries increases exponentially with its order, a phenomenon known as the "curse of the dimensionality". The Higher-Order Orthogonal Iteration (HOOI) and Higher-Order Singular Value Decomposition …