Regularized Semi-non-negative Matrix Factorization for Hashing.

Learning with non-negative matrix factorization (NMF) has significantly benefited large numbers of fields such as information retrieval, computer vision, natural language processing, biomedicine, and neuroscience, etc. However, little research (with NMF) has scratched hashing, which is a sharp sword in approximately nearest neighbors search for economical storage and efficient hardware-level XOR o...