Learning Euclidean-to-Riemannian Metric for Point-to-Set Classification
Information-Theoretic Dictionary Learning for Image Classification
maximum-entropy-discrimination
Learning Discriminative and Shareable Features
for Scene Classification
Unsupervised feature learning by deep sparse coding
Low-rank Matrix Recovery via Iteratively Reweighted Least Squares Minimization