RKHS subspace domain adaption via minimum distribution gap
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Computer Vision and Pattern Recognition
Link
https://link.springer.com/content/pdf/10.1007/s10044-023-01170-y.pdf
Reference33 articles.
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3. Zhang Y, Deng B, Tang H, Zhang L, Jia K (2020) Unsupervised multi-class domain adaptation: theory, algorithms, and practice. IEEE Trans Pattern Anal Mach Intell https://doi.org/10.1109/TPAMI.2020.3036956
4. Chen B, Lam W, Tsang IW, Wong TL (2013) Discovering low-rank shared concept space for adapting text mining models. IEEE Trans Pattern Anal Mach Intell 35(6):1284–1297. https://doi.org/10.1109/TPAMI.2012.243
5. Li J, Lu K, Huang Z, Zhu L, Shen HT (2019) Transfer independently together: a generalized framework for domain adaptation. IEEE Trans Cybern 49(6):2144–2155. https://doi.org/10.1109/TCYB.2018.2820174
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