Learning sparse representations to restore, classify, and sense images and videos Guillermo Sapiro University of Minnesota Supported by NSF, NGA, NIH,
Entropy-constrained overcomplete-based coding of natural images André F. de Araujo, Maryam Daneshi, Ryan Peng Stanford University.
Inverse Halftoning via Nonlocal Regularization
b17558-5
Variational Gaussian-process factor analysis for modeling spatio-temporal data
Sparse Coding and Its Extensions for Visual Recognition
Design of Non-Linear Kernel Dictionaries for Object Recognition
