作者: Xincan Fan , Kaiyang Liu , Haibo Yi
DOI: 10.1007/S11227-018-2606-0
关键词:
摘要: Collaborative representation is well known owing to its good performance in classification, especially classification on high-dimensional data. does very problems of data, e.g., images classification. In this paper, we point out that conventional algorithm for collaborative not exert potential. Our analysis shows frequency-domain features provide representations objects and joint space-domain enables perform face recognition. The circular symmetry the used exploited design an efficient procedure recognition faces frequency domain. setting adaptive weight also impressing because it can obtain reasonable weights two classifiers groups It properly uses reliability data as corresponding classifier. proposed achieves better result than algorithm.