Vectorial Dimension Reduction for Tensors Based on Bayesian Inference

Fujiao Ju, Yanfeng Sun, Junbin Gao +2

Dimensionality reduction for high-order tensors is a challenging problem. In conventional approaches, higher order tensors are `vectorized` via Tucker decomposition to obtain lower…