The present investigation describes an adaptive non-symmetric fuzzy activation function-
based extreme learning machines (ANF-ELM) for face recognition. ELMs are biologically …

The performance and robustness of face recognition are largely determined by the data
samples used for model training. To obtain more representative samples of a face, this …

Recently, sparse representation (SR) theory gets much success in the fields of pattern
recognition and machine learning. Many researchers use SR to design classification …

Collaborative representation classification (CRC) has attracted increasing attention in face
recognition (FR) tasks. The two-phase sparse representation (TPSR) methods are the …

Biometric recognition becomes an attractive issue of processing, and have a vast amount of
real applications. According to wide spread of Internet and the new aspect of Internet of …