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机译:基于强大的三矩阵恢复的自动加权标签传播进行分类
Soochow Univ Sch Comp Sci & Technol Suzhou 215006 Peoples R China;
Soochow Univ Sch Comp Sci & Technol Suzhou 215006 Peoples R China|Hefei Univ Technol Key Lab Knowledge Engn Big Data Minist Educ Hefei 230009 Peoples R China;
City Univ Hong Kong Dept Elect Engn Hong Kong Peoples R China;
Nanjing Univ Sci & Technol Sch Comp Sci Nanjing 210094 Peoples R China;
Soochow Univ Sch Comp Sci & Technol Suzhou 215006 Peoples R China;
Hefei Univ Technol Key Lab Knowledge Engn Big Data Minist Educ Hefei 230009 Peoples R China;
Manifolds; Prediction algorithms; Kernel; Sparse matrices; Robustness; Computer science; Data models; Robust auto-weighted label propagation (ALP); semisupervised classification (SSC); triple matrix recovery (TMR);
机译:通过标签嵌入的投影标签传播:用于表示和分类的深层标签预测框架
机译:在线半监督学习中通过标签传播和测地线 k i>-最近邻来进行可靠的标签预测
机译:动态标签传播,用于半监督的多类多标签分类
机译:分级多标签分类:在处理标签关系和限制错误传播之间进行折衷
机译:在表示学习中利用标签信息进行多标签文本分类
机译:结合多种假设检验和亲和力传播聚类可以对基因表达数据进行准确可靠和样本大小无关的分类
机译:基于强大的三矩阵恢复的自动加权标签传播进行分类
机译:标签或属性。重新划分稀疏标记网络中集体分类的邻居