Deep learning is well known as a method to extract hierarchical
representations of data. In this paper a novel unsupervised
deep learning based methodology, named Local Binary Pattern
Network (LBPNet), is proposed to efficiently extract and
compare high-level over-complete features in multilayer hierarchy.