Sparse and Low-Dimensional Models for High-Dimensional Data

3.00 points · University catalogue

Overview of theory, computation and applications for sparse and low-dimensional data modeling. Recoverability of sparse and low-rank models. Optimization methods for low-dim data modeling. Applications to imaging, neuroscience, communications, web data