Large-scale tucker Tensor factorization for sparse and accurate decomposition

The Very Sparse Tucker factorization (VeST) method produces highly sparse decomposition results from a large-scale partially observable tensor data and automatically looks for the optimal sparsity ratio, resulting in a balanced sparsity-accuracy trade-off.