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Multi-View Multi-Label Fine-Grained Emotion Decoding From Human Brain Activity 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 15
作者:  Fu, Kaicheng;  Du, Changde;  Wang, Shengpei;  He, Huiguang
Adobe PDF(4570Kb)  |  收藏  |  浏览/下载：244/61  |  提交时间：2022/12/27
Decoding  Brain modeling  Functional magnetic resonance imaging  Predictive models  Emotion recognition  Dimensionality reduction  Pattern recognition  Fine-grained emotion decoding  multi-label learning  multi-view learning  product of experts (PoEs)  variational autoencoder  
Structured Neural Decoding With Multitask Transfer Learning of Deep Neural Network Representations 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 卷号: 33, 期号: 2, 页码: 600-614
作者:  Du, Changde;  Du, Changying;  Huang, Lijie;  Wang, Haibao;  He, Huiguang
Adobe PDF(8742Kb)  |  收藏  |  浏览/下载：384/155  |  提交时间：2022/03/17
Decoding  Image reconstruction  Functional magnetic resonance imaging  Visualization  Task analysis  Brain  Correlation  Deep neural network (DNN)  functional magnetic resonance imaging (fMRI)  image reconstruction  multioutput regression  neural decoding  
Stacked BNAS: Rethinking Broad Convolutional Neural Network for Neural Architecture Search 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 卷号: 0, 期号: 0, 页码: 0
作者:  Zixiang, Ding;  Yaran, Chen;  Nannan, Li;  Dongbin, Zhao;  C.L.Philip Chen,
Adobe PDF(764Kb)  |  收藏  |  浏览/下载：189/28  |  提交时间：2022/01/07
broad neural architecture search, stacked broad convolutional neural network, knowledge embedding search, image classification.  
Dynamical Channel Pruning by Conditional Accuracy Change for Deep Neural Networks 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 卷号: 无, 期号: 无, 页码: 无
作者:  Chen, Zhiqiang;  Xu, Ting-Bing;  Du, Changde;  Liu, Cheng-Lin;  He, Huiguang
Adobe PDF(4352Kb)  |  收藏  |  浏览/下载：267/62  |  提交时间：2021/01/27
Conditional accuracy change (CAC), direct criterion, dynamical channel pruning, neural network compression, structure shaping.  
BNAS: Efficient Neural Architecture Search Using Broad Scalable Architecture 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 期号: 0, 页码: 0
作者:  Ding ZX(丁子祥);  Yaran, Chen;  Nannan, Li;  Dingbin, Zhao;  Zhiquan, Sun;  C. L. Philip Chen
Adobe PDF(2713Kb)  |  收藏  |  浏览/下载：164/41  |  提交时间：2022/01/06
Broad convolutional neural network (BCNN), image classification, neural architecture search (NAS), reinforcement learning (RL)  
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
Adobe PDF(3773Kb)  |  收藏  |  浏览/下载：327/41  |  提交时间：2019/12/16
Deep neural network (DNN)  image reconstruction  multiview learning  neural decoding  variational Bayesian inference  
Image-Specific Classification With Local and Global Discriminations 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018, 卷号: 29, 期号: 9, 页码: 4479-4486
作者:  Zhang, Chunjie;  Cheng, Jian;  Li, Changsheng;  Tian, Qi
Adobe PDF(571Kb)  |  收藏  |  浏览/下载：664/281  |  提交时间：2017/09/14
Global information  image-specific classification  local information  object categorization  
Structured Weak Semantic Space Construction for Visual Categorization 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018, 卷号: 29, 期号: 8, 页码: 3442-3451
作者:  Zhang, Chunjie;  Cheng, Jian;  Tian, Qi
Adobe PDF(1950Kb)  |  收藏  |  浏览/下载：506/226  |  提交时间：2017/09/14
Exemplar classifier training  image classification  structure learning  visual categorization  weak semantic space  
Adaptive Constrained Optimal Control Design for Data-Based Nonlinear Discrete-Time Systems With Critic-Only Structure 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018, 卷号: 29, 期号: 6, 页码: 2099-2111
作者:  Luo, Biao;  Liu, Derong;  Wu, Huai-Ning
Adobe PDF(1045Kb)  |  收藏  |  浏览/下载：372/114  |  提交时间：2018/10/10
Adaptive Control  Adaptive Dynamic Programming  Constraints  Critic-only  Data-based  Optimal Control  Q-learning  
A pdf-Free Change Detection Test Based on Density Difference Estimation 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018, 卷号: 29, 期号: 2, 页码: 324-334
作者:  Bu, Li;  Alippi, Cesare;  Zhao, Dongbin
Adobe PDF(2468Kb)  |  收藏  |  浏览/下载：366/105  |  提交时间：2017/05/04
Concept Drift  Least Squares Density-difference (Lsdd)-based Method  Probability Density Function (Pdf)-free  Three-level Threshold Mechanism