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cs.LG2019
Efficient and Adaptive Kernelization for Nonlinear Max-margin Multi-view Learning
Changying Du, Jia He, Changde Du +3
Existing multi-view learning methods based on kernel function either require the user to select and tune a single predefined kernel or have to compute and store many Gram matrices…
cs.LG2019
Learning beyond Predefined Label Space via Bayesian Nonparametric Topic Modelling
Changying Du, Fuzhen Zhuang, Jia He +2
In real world machine learning applications, testing data may contain some meaningful new categories that have not been seen in labeled training data. To simultaneously recognize n…