Learning With Augmented Features for Supervised and Semi-Supervised Heterogeneous Domain Adaptation
Wen Li(Nanyang Technological University), Ivor W. Tsang(Agency for Science, Technology and Research), Lixin Duan(University of Electronic Science and Technology of China), Dong Xu(University of Hong Kong)
Cited by 467
Related Papers
Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy Labels
|Neural Information Processing Systems|2018|1.2k
Core Vector Machines: Fast SVM Training on Very Large Data Sets
|Unknown|2005|951
Domain Transfer Multiple Kernel Learning
|IEEE Transactions on Pattern Analysis and Machine Intelligence|2011|574
Flexible Manifold Embedding: A Framework for Semi-Supervised and Unsupervised Dimension Reduction
|IEEE Transactions on Image Processing|2010|513
Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy Labels
|arXiv (Cornell University)|2018|454