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浏览/检索结果: 共6条，第1-6条 帮助 限定条件 发表日期：2019    专题：自动化研究所    第一署名单位    第一作者单位    通讯作者单位     已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序 Reconstructing Perceived Images From Human Brain Activities With Bayesian Deep Multiview Learning 期刊论文 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2019, 卷号: 30, 期号: 8, 页码: 2310-2323 作者:  Du, Changde;  Du, Changying;  Huang, Lijie;  He, Huiguang 收藏  |  浏览/下载：63/0  |  提交时间：2019/12/16 Deep neural network (DNN)  image reconstruction  multiview learning  neural decoding  variational Bayesian inference   Modeling Transferable Topics for Cross-Target Stance Detection 会议论文 Paris, France, 2019-7 作者:  Penghui Wei;  Wenji Mao 收藏  |  浏览/下载：2/0  |  提交时间：2021/06/16 Variational Bayesian Learning for Dirichlet Process Mixture of Inverted Dirichlet Distributions in Non-Gaussian Image Feature Modeling 期刊论文 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2019, 卷号: 30, 期号: 2, 页码: 449-463 作者:  Ma, Zhanyu;  Lai, Yuping;  Kleijn, W. Bastiaan;  Song, Yi-Zhe;  Wang, Liang 收藏  |  浏览/下载：51/0  |  提交时间：2019/07/12 Bayesian estimation  computer vision  Dirichlet process (DP) mixture  inverted Dirichlet distribution  variational learning   Brain Encoding and Decoding in fMRI with Bidirectional Deep Generative Models 期刊论文 Engineering, 2019, 期号: 0, 页码: 1-8 作者:  Du Changde;  Li Jinpeng;  Huang Lijie;  He Huiguang 收藏  |  浏览/下载：75/0  |  提交时间：2019/05/06 Brain Encoding And Decoding  Fmri  Deep Neural Networks  Deep Generative Models  Dual Learning   A Novel and Efficient CVAE-GAN-Based Approach With Informative Manifold for Semi-Supervised Anomaly Detection 期刊论文 IEEE ACCESS, 2019, 卷号: 7, 页码: 88903-88916 作者:  Bian, Jiang;  Hui, Xiaolong;  Sun, Shiying;  Zhao, Xiaoguang;  Tan, Min 收藏  |  浏览/下载：48/0  |  提交时间：2019/12/16 Semi-supervised anomaly detection  conditional variational auto-encoder  generative adversarial networks  informative manifold  structural similarity loss   Primitives Generation Policy Learning without Catastrophic Forgetting for Robotic Manipulation 会议论文 China National Convention Center (CNCC), Beijing, November 8-11, 2019 作者:  Xiong,, Fangzhou;  Liu, Zhiyong;  Huang, Kaizhu;  Yang, Xu;  Amir Hussain 收藏  |  浏览/下载：3/0  |  提交时间：2020/04/26