机译:用于无监督域自适应的转移度量学习
South China Univ Technol, Sch Elect & Informat Engn, Guangzhou, Guangdong, Peoples R China;
South China Univ Technol, Sch Elect & Informat Engn, Guangzhou, Guangdong, Peoples R China;
learning (artificial intelligence); image classification; feature extraction; image representation; pattern classification; unsupervised domain adaptation; distribution discrepancy; source domain; target domain; transfer ability; discriminative feature representation; previous methods; target discriminative information; target data; transfer metric learning method; intra-class distance; increases inter-class distance; shared features; state-of-the-art methods; authors;
机译:无监督转移学习的多度量域适应
机译:联合度量和特征表示学习,实现无监督领域自适应
机译:无条件适应网络和无监督域自适应的标签相关传输
机译:学习用于无监督域自适应的可传递表示
机译:在自然语言处理中学习无监督域适应的可转移功能
机译:脑磁共振图像分割中域适应的转换转移学习
机译:辨别特征对准:通过高斯引导的潜在对准提高无监督域适应的可转换性