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Safe Motion Planning for Autonomous Vehicles by Quantifying Uncertainties of Deep Learning-Enabled Environment Perception 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2024, 卷号: 9, 期号: 1, 页码: 2318-2332
作者:  Li, Dachuan;  Liu, Bowen;  Huang, Zijian;  Hao, Qi;  Zhao, Dezong;  Tian, Bin
收藏  |  浏览/下载：8/0  |  提交时间：2024/07/22
Uncertainty  Planning  Three-dimensional displays  Decision making  Detectors  Trajectory  Probabilistic logic  Autonomous driving  motion planning  object detection  Bayesian deep learning  uncertainty quantification  
Parallel System Based Quantitative Assessment and Self-evolution for Artificial Intelligence of Active Power Corrective Control 期刊论文
CSEE JOURNAL OF POWER AND ENERGY SYSTEMS, 2024, 卷号: 10, 期号: 1, 页码: 13-28
作者:  Zhang, Tianyun;  Zhang, Jun;  Wang, Feiyue;  Xu, Peidong;  Gao, Tianlu;  Zhang, Haoran;  Si, Ruiqi
收藏  |  浏览/下载：8/0  |  提交时间：2024/07/03
AI quantitative intelligence assessment and self-evolution  automated reinforcement learning  Bayesian optimization  corrective control  parallel system  
Narrowing the Gap: Improved Detector Training With Noisy Location Annotations 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2022, 卷号: 31, 页码: 6369-6380
作者:  Wang, Shaoru;  Gao, Jin;  Li, Bing;  Hu, Weiming
Adobe PDF(1489Kb)  |  收藏  |  浏览/下载：284/37  |  提交时间：2022/11/14
Annotations  Noise measurement  Detectors  Task analysis  Training  Object detection  Degradation  Object detection  noisy label  Bayesian estimation  teacher-student learning  
Adaptive Grouping Block Sparse Bayesian Learning Method for Accurate and Robust Reconstruction in Bioluminescence Tomography 期刊论文
IEEE Transactions on Biomedical Engineering, 2021, 卷号: 68, 期号: 99, 页码: 1
作者:  Yin, Lin;  Wang, Kun;  Tong, Tong;  Wang, Qian;  An, Yu;  Yang, Xin;  Tian, Jie
Adobe PDF(11700Kb)  |  收藏  |  浏览/下载：307/58  |  提交时间：2021/05/31
adaptive grouping  bioluminescence tomography  block sparse Bayesian learning  
Bayesian Automatic Model Compression 期刊论文
IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING, 2020, 卷号: 14, 期号: 4, 页码: 727-736
作者:  Wang, Jiaxing;  Bai, Haoli;  Wu, Jiaxiang;  Cheng, Jian
Adobe PDF(1918Kb)  |  收藏  |  浏览/下载：323/63  |  提交时间：2020/12/04
Quantization  automatic machine learning  model compression  Bayes methods  Mathematical model  Training  Mixture models  Optimization  Machine learning  Bayesian learning  quantizartion  explainability  
Improved heuristic equivalent search algorithm based on Maximal Information Coefficient for Bayesian Network Structure Learning 期刊论文
NEUROCOMPUTING, 2013, 卷号: 117, 页码: 186-195
作者:  Zhang, Yinghua;  Zhang, Wensheng;  Xie, Yuan
收藏  |  浏览/下载：35/0  |  提交时间：2020/10/27
Bayesian Network  Structure Learning  Maximal Information Coefficient  Heuristic Search  
Improved Block Sparse Bayesian Learning Method Using K-Nearest Neighbor Strategy for Accurate Tumor Morphology Reconstruction in Bioluminescence Tomography 期刊论文
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2020, 卷号: 67, 期号: 7, 页码: 2023-2032
作者:  Yin, Lin;  Wang, Kun;  Tong, Tong;  An, Yu;  Meng, Hui;  Yang, Xin;  Tian, Jie
浏览  |  Adobe PDF(646Kb)  |  收藏  |  浏览/下载：366/68  |  提交时间：2020/08/03
Image reconstruction  Bayes methods  Tumors  Inverse problems  Light sources  Tomography  Morphology  Bioluminescence tomography (BLT)  block sparse Bayesian learning  morphology recovery  
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：376/49  |  提交时间：2019/12/16
Deep neural network (DNN)  image reconstruction  multiview learning  neural decoding  variational Bayesian inference  
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;  Guo, Jun
收藏  |  浏览/下载：375/0  |  提交时间：2019/07/12
Bayesian estimation  computer vision  Dirichlet process (DP) mixture  inverted Dirichlet distribution  variational learning  
Reconstructing Perceived Images from Human Brain Activities with Bayesian Deep Multi-view Learning 期刊论文
IEEE Transactions on Neural Networks and Learning Systems, 2018, 期号: 0, 页码: 1-14
作者:  Du Changde;  Du Changying;  Huang Lijie;  He Huiguang
浏览  |  Adobe PDF(3843Kb)  |  收藏  |  浏览/下载：515/212  |  提交时间：2019/05/05
Deep Neural Network  Multi-view Learning  Variational Bayesian Inference  Neural Decoding  Image Reconstruction