Update README.md

zhoubei96 · Sep 27, 2017 · 913249f · 913249f
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@@ -47,24 +47,24 @@ Testing **dataset** can be found [here](https://github.com/jindongwang/transferl
 
 #### References
 
-[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.
+[1] Pan S J, Tsang I W, Kwok J T, et al. Domain adaptation via transfer component analysis[J]TNN, 2011, 22(2): 199-210.
 
-[2] Gong B, Shi Y, Sha F, et al. Geodesic flow kernel for unsupervised domain adaptation[C]//Computer Vision and Pattern Recognition (CVPR), 2012 IEEE Conference on. IEEE, 2012: 2066-2073.
+[2] Gong B, Shi Y, Sha F, et al. Geodesic flow kernel for unsupervised domain adaptation[C]//CVPR, 2012: 2066-2073.
 
-[3] 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] Long M, Wang J, Ding G, et al. Transfer feature learning with joint distribution adaptation[C]//ICCV. 2013: 2200-2207.
 
-[4] Long M, Wang J, Ding G, et al. Transfer joint matching for unsupervised domain adaptation[C]//Proceedings of the IEEE conference on computer vision and pattern recognition. 2014: 1410-1417.
+[4] Long M, Wang J, Ding G, et al. Transfer joint matching for unsupervised domain adaptation[C]//CVPR. 2014: 1410-1417.
 
 [5] Sun B, Feng J, Saenko K. Return of Frustratingly Easy Domain Adaptation[C]//AAAI. 2016, 6(7): 8.
 
 [6] Zhang J, Li W, Ogunbona P. Joint Geometrical and Statistical Alignment for Visual Domain Adaptation[C]//CVPR 2017.
 
-[7] Long M, Wang J, Ding G, et al. Adaptation regularization: A general framework for transfer learning[J]. IEEE Transactions on Knowledge and Data Engineering, 2014, 26(5): 1076-1089.
+[7] Long M, Wang J, Ding G, et al. Adaptation regularization: A general framework for transfer learning[J]//TKDE, 2014, 26(5): 1076-1089.
 
-[8] Dai W, Yang Q, Xue G R, et al. Boosting for transfer learning[C]//Proceedings of the 24th international conference on Machine learning. ACM, 2007: 193-200.
+[8] Dai W, Yang Q, Xue G R, et al. Boosting for transfer learning[C]//ICML, 2007: 193-200.
 
-[9] Long M, Cao Y, Wang J, et al. Learning transferable features with deep adaptation networks[C]//International Conference on Machine Learning. 2015: 97-105.
+[9] Long M, Cao Y, Wang J, et al. Learning transferable features with deep adaptation networks[C]//ICML. 2015: 97-105.
 
-[10] Long M, Wang J, Jordan M I. Deep transfer learning with joint adaptation networks[J]. arXiv preprint arXiv:1605.06636, 2016.
+[10] Long M, Wang J, Jordan M I. Deep transfer learning with joint adaptation networks[J]//ICML 2017.
 
-[11] Fernando B, Habrard A, Sebban M, et al. Unsupervised visual domain adaptation using subspace alignment[C]//Proceedings of the IEEE international conference on computer vision. 2013: 2960-2967.
+[11] Fernando B, Habrard A, Sebban M, et al. Unsupervised visual domain adaptation using subspace alignment[C]//ICCV. 2013: 2960-2967.