2016
TenSR: Multi-Dimensional Tensor Sparse Representation
CVPR 2016poster
The conventional sparse model relies on data representation in the form of vectors. It represents the vector-valued or vectorized one dimensional (1D) version of an signal as a highly sparse linear combination of basis atoms from a large dictionary. The 1D modeling, though simple, ignores the inhere…