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面向图像识别与物体检测的连续学习研究 学位论文
, 中国科学院自动化研究所: 中国科学院自动化研究所, 2022
Authors:  崔波
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连续学习  深度学习  图像识别  物体检测  
网络结构搜索方法及其在气象预测中的应用研究 学位论文
工学博士学位, 中国科学院自动化研究所: 中国科学院自动化研究所, 2022
Authors:  张新邦
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网络结构搜索  自动机器学习  深度学习  气象预测  时空数据挖掘  
行为识别轻量化模型研究 学位论文
工学博士学位, 中国科学院自动化研究所: 中国科学院自动化研究所, 2022
Authors:  程科
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行为识别,轻量化模型,时空模型,图卷积神经网络,网络结构设计  
深度卷积神经网络量化表示研究 学位论文
, 中国科学院自动化研究所: 中国科学院自动化研究所, 2022
Authors:  贺翔宇
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量化表示  特征学习  二值化  深度卷积神经网络  
Evo-ViT: Slow-Fast Token Evolution for Dynamic Vision Transformer 会议论文
, Online, 2022-3-1
Authors:  Xu, Yifan;  Zhang, Zhijie;  Zhang, Mengdan;  Sheng, Kekai;  Li, Ke;  Dong, Weiming;  Zhang, Liqing;  Xu, Changsheng;  Sun, Xing
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Efficient Visual Recognition: A Survey on Recent Advances and Brain-inspired Methodologies 期刊论文
Machine Intelligence Research, 2022, 卷号: 19, 期号: 5, 页码: 366-411
Authors:  Yang Wu
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Visual recognition  deep neural networks (DNNS)  brain-inspired methodologies  network compression  dynamic inference  survey  
Stable Label-Specific Features Generation for Multi-Label Learning via Mixture-Based Clustering Ensemble 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 7, 页码: 1248-1261
Authors:  Yi-Bo Wang;  Jun-Yi Hang;  Min-Ling Zhang
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Clustering ensemble  expectation-maximization al-gorithm  label-specific features  multi-label learning  
An Adaptive Padding Correlation Filter With Group Feature Fusion for Robust Visual Tracking 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 10, 页码: 1845-1860
Authors:  Zihang Feng;  Liping Yan;  Yuanqing Xia;  Bo Xiao
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Adaptive padding  context information  correlation filter (CF)  feature group fusion  robust visual tracking  
A PID-incorporated Latent Factorization of Tensors Approach to Dynamically Weighted Directed Network Analysis 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 3, 页码: 533-546
Authors:  Hao Wu;  Xin Luo;  MengChu Zhou;  Muhyaddin J. Rawa;  Khaled Sedraoui;  Aiiad Albeshri
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Big data  high dimensional and incomplete (HDI) tensor  latent factorization-of-tensors (LFT)  machine learning  missing data  optimization  proportional-integral-derivative (PID) controller  
Sampling Methods for Efficient Training of Graph Convolutional Networks: A Survey 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 2, 页码: 205-234
Authors:  Xin Liu;  Mingyu Yan;  Lei Deng;  Guoqi Li;  Xiaochun Ye;  Dongrui Fan
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Efficient training  graph convolutional networks (GCNs)  graph neural networks (GNNs)  sampling method