The symposium is structured around three focused tracks: Track 1: Real-time data capture and compression methods Gigapixel imaging and hyper-spectral imaging, Synthetic Aperture Radar Time stretch imaging, spectroscopy and real-time data compression Image compression, Anamorphic data compression, digital pathology and telemedicine Track 2: Theory and algorithms for dynamic sparse and/or low rank recovery. Dynamic Compressed Sensing, Sparse Recovery Dynamic Robust PCA, Dynamic Matrix Completion Applications to dynamic medical imaging, video analysis, cognitive radios, machine learning Track 3: Subspace Methods for High-Dimensional Data. Subspace and Covariance estimation, possibly with missing and corrupted data Unions-of-subspaces and non-linear manifold models Machine learning with subspace methods