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机译:基于Graph-正常化的非负面矩阵分解的多视图群集进行对象识别
Tsinghua Univ Informat Technol Ctr Beijing 100084 Peoples R China;
Tsinghua Univ State Key Lab Automot Safety &
Energy Beijing 100084 Peoples R China;
Xian Commun Inst Xian 710106 Shaanxi Peoples R China;
Tsinghua Univ Dept Comp Sci &
Technol Beijing 100084 Peoples R China;
Tsinghua Univ Dept Comp Sci &
Technol Beijing 100084 Peoples R China;
Tsinghua Univ Dept Comp Sci &
Technol Beijing 100084 Peoples R China;
Tsinghua Univ Dept Comp Sci &
Technol Beijing 100084 Peoples R China;
Tsinghua Univ Dept Comp Sci &
Technol Beijing 100084 Peoples R China;
Multi-view; Clustering; Nonnegative matrix factorization (NMF); Graph regularization; Orthogonal constraint;
机译:基于Graph-正常化的非负面矩阵分解的多视图群集进行对象识别
机译:图正则化部分共享非负矩阵分解的半监督多视图聚类
机译:协同聚类的正交双图 - 正则矩阵分解
机译:基于非负矩阵分解和成对协正则化的自适应多视图聚类
机译:通过模糊聚类和基于Hough变换的方法进行对象识别的鲁棒方法。
机译:MHSNMF:基于多视图Hessian正规化的微生物组数据分析的对称非环境矩阵分解
机译:通过图形正常化的半监督非负面的非负面矩阵分解与基于视觉的标记过程的安全监控