机构

• 自动化研究所 [8]
• 数学与系统科学研究院 [4]
• 光电技术研究所 [1]
• 国家授时中心 [1]

采集方式

• OAI收割 [14]

内容类型

• 期刊论文 [13]
• 会议论文 [1]

发表日期

• 2023 [1]
• 2022 [1]
• 2021 [3]
• 2020 [1]
• 2019 [2]
• 2018 [2]
• 更多

学科主题

• Computer S... [1]

筛选

浏览/检索结果: 共14条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序提交时间升序提交时间降序作者升序作者降序发表日期升序发表日期降序 基于变分贝叶斯对比网络的非参数图像聚类方法 期刊论文  OAI收割 模式识别与人工智能, 2023, 卷号: 36, 期号: 9, 页码: 832-841 作者:  张胜杰;  王一飞;  向旺;  薛迪展;  钱胜胜   |  收藏  |  浏览/下载：11/0  |  提交时间：2024/02/22 Nonparametric Image Clustering ( NIC)  Bayesian Algorithm  Contrastive Clustering  Polarizing Label  Variational Method  非参数图像聚类(NIC)  贝叶斯方法  对比聚类  极化标签  变分方法   A Gaussian mixture regression model based adaptive filter for non-Gaussian noise without a priori statistic 期刊论文  OAI收割 SIGNAL PROCESSING, 2022, 卷号: 190, 页码: 13 作者:  Cui, Haoran;  Wang, Xiaoxu;  Gao, Shuaihe;  Li, Tiancheng   |  收藏  |  浏览/下载：36/0  |  提交时间：2021/11/26 Nonlinear adaptive filter  Unknown and non-Gaussian noises  Variational Bayesian  Gaussian mixture model   Stein variational gradient descent with local approximations 期刊论文  OAI收割 COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, 2021, 卷号: 386, 页码: 20 作者:  Yan, Liang;  Zhou, Tao   |  收藏  |  浏览/下载：19/0  |  提交时间：2022/04/02 Stein variational gradient decent  Bayesian inference  Deep learning  Local approximation   Clustering Hidden Markov Models With Variational Bayesian Hierarchical EM 期刊论文  OAI收割 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 15 作者:  Lan, Hui;  Liu, Ziquan;  Hsiao, Janet H.;  Yu, Dan;  Chan, Antoni B.   |  收藏  |  浏览/下载：29/0  |  提交时间：2022/04/02 Hidden Markov models  Bayes methods  Data models  Computational modeling  Mixture models  Clustering algorithms  Analytical models  Clustering  hidden Markov mixture model (H3M)  hierarchical EM  variational Bayesian (VB)   Bayesian Joint Matrix Decomposition for Data Integration with Heterogeneous Noise 期刊论文  OAI收割 IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2021, 卷号: 43, 期号: 4, 页码: 1184-1196 作者:  Zhang, Chihao;  Zhang, Shihua   |  收藏  |  浏览/下载：44/0  |  提交时间：2021/04/26 Matrix decomposition  Bayes methods  Data integration  Inference algorithms  Data models  Data mining  Gaussian distribution  Bayesian methods  matrix decomposition  data integration  variational Bayesian inference  maximum a posterior   Variational Inference Based Kernel Dynamic Bayesian Networks for Construction of Prediction Intervals for Industrial Time Series With Incomplete Input 期刊论文  OAI收割 IEEE/CAA Journal of Automatica Sinica, 2020, 卷号: 7, 期号: 5, 页码: 1429-1437 作者:  Long Chen;  Linqing Wang;  Zhongyang Han;  Jun Zhao;  Wei Wang   |  收藏  |  浏览/下载：30/0  |  提交时间：2021/03/11 Industrial time series  kernel dynamic Bayesian networks (KDBN)  prediction intervals (PIs)  variational inference   Reconstructing Perceived Images From Human Brain Activities With Bayesian Deep Multiview Learning 期刊论文  OAI收割 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：74/0  |  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  OAI收割 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：68/0  |  提交时间：2019/07/12 Bayesian estimation  computer vision  Dirichlet process (DP) mixture  inverted Dirichlet distribution  variational learning   LPG: A four-group probabilistic approach to leveraging pleiotropy in genome-wide association studies 期刊论文  OAI收割 BMC Genomics, 2018, 卷号: 19, 期号: 1 作者:  Yang,Yi;  Dai,Mingwei;  Huang,Jian;  Lin,Xinyi;  Yang,Can   |  收藏  |  浏览/下载：39/0  |  提交时间：2018/07/30 Pleiotropy  Variational Bayesian expectation-maximization  Genome-wide association studies   Reconstructing Perceived Images from Human Brain Activities with Bayesian Deep Multi-view Learning 期刊论文  OAI收割 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   |  收藏  |  浏览/下载：48/0  |  提交时间：2019/05/05 Deep Neural Network  Multi-view Learning  Variational Bayesian Inference  Neural Decoding  Image Reconstruction