In recent years, multi-view clustering research has attracted considerable attention because of the rapidly growing demand for unsupervised analysis data in practical applications. Despite significant advances clustering, two challenges still need to be addressed, i.e., how make full use consistent and complementary information multiple views discriminate contributions different features same v...

This paper presents an approach for realistic virtual view generation using appearance clustering based local view transition model, with its target application on cross-pose face recognition. Previously, the traditional global pattern based view transition model (VTM) method was extended to its local version called LVTM, which learns the linear transformation of pixel values between frontal an...

Multi-view clustering has gained broad attention owing to its capacity exploit complementary information across multiple data views. Although existing methods demonstrate delightful performance, most of them are high time complexity and cannot handle large-scale data. Matrix factorization-based models a representative solving this problem. However, they assume that the views share dimension-fix...

Abstract Multi-view clustering (MVC) has attracted more and attention in the recent few years by making full use of complementary consensus information between multiple views to cluster objects into different partitions. Although there have been two existing works for MVC survey, neither them jointly takes popular deep learning-based methods consideration. Therefore, this paper, we conduct a co...