A novel robust low-rank nulti-view diversity optimization model with adaptive-weighting based manifold learning
作者： 时间：2024-01-08 点击数：

论文题目：A novel robust low-rank nulti-view diversity optimization model with adaptive-weighting based manifold learning

论文作者：Junpeng Tan,Zhijing Yang,Jinchang Ren,Bing Wang,Yongqiang Cheng,Wing-Kuen Ling

论文地址：https://www.sciencedirect.com/science/article/pii/S0031320321004787


上一条：Dual semi-supervised convex nonnegative matrix factorization for data representation
下一条：SRAGL-AWCL:A two-step multi-view clustering via sparse representation and adaptive weighted cooperative learning