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Residual-driven Fuzzy C-Means Clustering for Image Segmentation 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 4, 页码: 876-889
Authors:  Cong Wang;  Witold Pedrycz;  ZhiWu Li;  MengChu Zhou
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Fuzzy C-Means  image segmentation  mixed or unknown noise  residual-driven  weighted regularization  
Total Variation Constrained Non-Negative Matrix Factorization for Medical Image Registration 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 5, 页码: 1025-1037
Authors:  Chengcai Leng;  Hai Zhang;  Guorong Cai;  Zhen Chen;  Anup Basu
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Data clustering  dimension reduction  image registration  non-negative matrix factorization (NMF)  total variation (TV)  
Deep Learning for EMG-based Human-Machine Interaction: A Review 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 3, 页码: 512-533
Authors:  Dezhen Xiong;  Daohui Zhang;  Xingang Zhao;  Yiwen Zhao
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Accuracy  deep learning  electromyography (EMG)  human-machine interaction (HMI)  robustness  
Deep Learning in Sheet Metal Bending With a Novel Theory-Guided Deep Neural Network 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 3, 页码: 565-581
Authors:  Shiming Liu;  Yifan Xia;  Zhusheng Shi;  Hui Yu;  Zhiqiang Li;  Jianguo Lin
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Data-driven deep learning  deep learning  deep neural network (DNN)  intelligent manufacturing  machine learning  sheet metal forming  springback  theory-guided deep learning  theory-guided regularization  
Robust Latent Factor Analysis for Precise Representation of High-Dimensional and Sparse Data 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 4, 页码: 796-805
Authors:  Di Wu;  Xin Luo
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High-dimensional and sparse matrix  L1-norm  L2-norm  latent factor model  recommender system  smooth L1-norm  
Efficient and High-quality Recommendations via Momentum-incorporated Parallel Stochastic Gradient Descent-Based Learning 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 2, 页码: 402-411
Authors:  Xin Luo;  Wen Qin;  Ani Dong;  Khaled Sedraoui;  MengChu Zhou
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Big data  industrial application  industrial data  latent factor analysis  machine learning  parallel algorithm  recommender system (RS)  stochastic gradient descent (SGD)  
A Deep Nonnegative Matrix Factorization Approach via Autoencoder for Nonlinear Fault Detection 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2020, 卷号: 16, 期号: 8, 页码: 5042-5052
Authors:  Ren, Zelin;  Zhang, Wensheng;  Zhang, Zhizhong
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Kernel  Fault detection  Feature extraction  Matrix decomposition  Neural networks  Informatics  Data-driven fault detection  deep autoencoder  nonlinear industrial process  nonnegative matrix factorization (NMF)  
复杂场景语音前端增强与分离算法研究 学位论文
工学学位, 北京: 中国科学院自动化研究所, 2020
Authors:  李晨星
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语音去混响  语音增强  语音分离  远场语音识别  
社会媒体上下文感知的序列行为建模 学位论文
工学博士, 中国科学院自动化研究所: 中国科学院大学, 2020
Authors:  黄晓雯
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社会媒体  序列行为建模  用户建模  序列推荐  多模态  异构信息网络  知识图谱  可解释性  
基于深度神经网络的媒体转载行为分析研究 学位论文
, 北京: 中国科学院大学, 2020
Authors:  姚日恒
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媒体转载行为  深度神经网络  转载预测  转载识别  群体分析