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Efficient and Adaptive Kernelization for Nonlinear Max-margin Multi-view Learning


Oct 11, 2019
Changying Du, Jia He, Changde Du, Fuzhen Zhuang, Qing He, Guoping Long

* Multi-view learning, Adaptive kernel, Maximum margin learning, Linear scalability, Dirichlet process Gaussian mixtures, Bayesian inference, Data augmentation, Hamiltonian Monte Carlo 

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Semi-supervised Deep Generative Modelling of Incomplete Multi-Modality Emotional Data


Jul 27, 2018
Changde Du, Changying Du, Hao Wang, Jinpeng Li, Wei-Long Zheng, Bao-Liang Lu, Huiguang He

* arXiv admin note: text overlap with arXiv:1704.07548, 2018 ACM Multimedia Conference (MM'18) 

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Sharing deep generative representation for perceived image reconstruction from human brain activity


Jul 11, 2017
Changde Du, Changying Du, Huiguang He


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Semi-supervised Bayesian Deep Multi-modal Emotion Recognition


Apr 25, 2017
Changde Du, Changying Du, Jinpeng Li, Wei-long Zheng, Bao-liang Lu, Huiguang He


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