No more meta-parameter tuning in unsupervised sparse feature learning

Adriana Romero, Petia Radeva, Carlo Gatta

We propose a meta-parameter free, off-the-shelf, simple and fast unsupervised feature learning algorithm, which exploits a new way of optimizing for sparsity. Experiments on STL-10…