Algorithmic Aspects of Machine Learning (Hardcover)

1. Introduction; 2. Nonnegative matrix factorization; 3. Tensor decompositions ? algorithms; 4. Tensor decompositions ? applications; 5. Sparse recovery; 6. Sparse coding; 7. Gaussian mixture models; 8. Matrix completion.