In recent years, convolutional neural networks have proven to be a highly efficient approach
for face recognition. In this paper, we develop such a framework to learn a robust face …

Abstract Representation‐based classification (RBC) has been attracting a great deal of
attention in pattern recognition. As a typical extension to RBC, collaborative representation …

Combination the corresponding advantage of infrared and visible images, the fusion of
visible-light and near-infrared features is becoming one of the key research directions of …

Face recognition has a broad range of uses for business and law enforcement, such as
access control, security monitoring, and video surveillance. This paper proposes an effective …

Handling huge amount of data from different sources more so in the images is the latest
challenge. One of the solutions to this is sparse representation. The idea of sparsity has …

Plant species recognition is one of the important and difficult research areas. Many existing
plant recognition and classification methods cannot meet the requirements of the automatic …

Many face recognition approaches are based on collaborative representation (CR). CR
based method represents a test sample using training samples of all classes. To produce a …