L

low-rank approximation

This project aimed at exploring the potential of learning sketching matrices used with HOSVD for Tucker Decomposition of tensors.

R implementation of the GoDec algorithm, which decomposes a matrix (X) as a sum of a low-rank (L), a sparse (S) and a noise (N) matrix (X = L + S + N).