迁移和域自适应
作者:互联网
reference
[1] A kernel two sample test
[2] Optimal kernel choice for large-scale two-sample tests
[3] Deep domain confusion: maximizing for domain invariance
[4] Learning transferable feature with deep adaptation nets
[5] Deep transfer network:Unsupervised domain adaptation
[6] Adaptive visual category models to new domains
[7] Geodesic flow kernel for unsupervised domain adaptation
[8] Transfer sparse coding for robust image representation
标签:kernel,domain,two,Deep,适应,sample,adaptation,和域,迁移 来源: https://www.cnblogs.com/jiangkejie/p/11178113.html