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A Multi-Kernel domain adaptation method for unsupervised transfer learning on cross-source and cross-region remote sensing data classification

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Multi-kernel-Joint-Domain-Matching

A Multi-Kernel domain adaptation method for unsupervised transfer learning on cross-source and cross-region remote sensing data classification

Reference

[1] Pan S J, Tsang I W, Kwok J T, et al. Domain adaptation via transfer component analysis[J]. IEEE Transactions on Neural Networks, 2011, 22(2): 199-210.

[2] Long M, Wang J, Ding G, et al. Transfer feature learning with joint distribution adaptation[C]//Proceedings of the IEEE international conference on computer vision. 2013: 2200-2207.

[3] Wang J, Chen Y, Hao S, et al. Balanced distribution adaptation for transfer learning[C]//2017 IEEE International Conference on Data Mining (ICDM). IEEE, 2017: 1129-1134.

[4] A. Gretton et al., "Optimal kernel choice for large-scale two-sample tests," in Advances in neural information processing systems, 2012, pp. 1205-1213.

[5] http://transferlearning.xyz/

[6] https://github.com/lopezpaz/classifier_tests/tree/master/code/unit_test_mmd

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A Multi-Kernel domain adaptation method for unsupervised transfer learning on cross-source and cross-region remote sensing data classification

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