机译:半监督双低秩特征映射,用于多标签图像注释
Beijing Jiaotong Univ, Beijing Key Lab Traff Data Anal & Min, Beijing, Peoples R China|Beijing Jiaotong Univ, Sch Comp & Informat Technol, Beijing 100044, Peoples R China;
Beijing Jiaotong Univ, Beijing Key Lab Traff Data Anal & Min, Beijing, Peoples R China|Beijing Jiaotong Univ, Sch Comp & Informat Technol, Beijing 100044, Peoples R China;
Beijing Jiaotong Univ, Beijing Key Lab Traff Data Anal & Min, Beijing, Peoples R China|Beijing Jiaotong Univ, Sch Comp & Informat Technol, Beijing 100044, Peoples R China;
Automatic image annotation; Multi-label learning; Semi-supervised learning; Self-recovery model; Graph Laplacian regularization; Dual low-rank regularization;
机译:用于多标签图像注释的半监控双低级功能映射
机译:图表正常化的低秩特征映射,用于多标签学习,应用于图像注释
机译:用新的低级别建模的多标签活动学习方法的医学图像注释
机译:图正则化低秩特征学习,可实现强大的多标签图像注释
机译:通过结构稀疏性和低秩逼近进行图像注释和特征工程。
机译:通过多标签分类自动标注功能成像实验
机译:隐藏概念驱动图像分解向半监督多标签图像标注