| [1] Pan S J, Yang Q. A survey on transfer learning[J].IEEE Transactions on Knowledge and Data Engineering , 2010,22(10):1 345-1 359.[2] Yang Q, Chen Y, Xue G, et al. Heterogeneous transfer learning for image clustering via the social web[C]//Proceedings of the 47th Annual Meeting of the ACL and the 4th IJCNLP of the AFNLP. Suntec, Singapore, 2009:1-9.[3] Zhu Y, Chen Y, Lu Z, et al. Heterogeneous transfer learning for image classification[C]//Proceedings of the 25th AAAI Conference on Artificial Intelligence. San Francisco,USA, 2011:1 304-1 309.[4] Dai W Y, Chen Y Q, Xue G R, et al. Translated learning: transfer learning across different feature spaces[C]//Proc 21st Ann Conf Neural Information Processing Systems. Vancouver, Canada, 2008.[5] Wang C, Mahadevan S. Heterogeneous domain adaptation using manifold alignment[C]//Proc 22nd International Joint Conference on Artificial Intelligence. Barcelona, Spain, 2011: 1 541-1 546.[6] Duan L, Xu D, Tsang I W. Learning with augmented features for heterogeneous domain adaptation[C]//Proceedings of the 29th International Conference on Machine Learning. Edinburgh, Scotland, UK, 2012.[7] Kulis B, Saenko K, Darrell T. What you saw is not what you get: domain adaptation using asymmetric kernel transforms[C]//Computer Vision and Pattern Recognition, Colorado. USA, 2011: 1 785-1 792.[8] Guan Z D, Bai S B, Zhu T S. Heterogeneous domain adaptation using linear kernel[C]//ICPCA-SWS. Vina del Mar, Chile, Springer, 2013.[9] Gu Q Q, Li Z H, Han J W. Learning a kernel for multi-task clustering[C]//Proceedings of the 25th AAAI Conference on Artificial Intelligence. San Francisco, USA, 2011.[10] 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.[11] Gretton A, Borgwardt K M, Rasch M J, et al. A kernel method for the two-sample-problem[C]//Proceedings of the 2006 Conference Advances in Neural Information Processing Systems 19. Vancouver, Canada, MIT Press, 2006, 20:513-520. |
