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科研机构
自动化研究所 [69]
内容类型
期刊论文 [58]
会议论文 [11]
发表日期
2020 [69]
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浏览/检索结果:
共69条,第1-10条
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发表日期:2020
专题:自动化研究所
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An Island Remote Sensing Image Segmentation Algorithm Based on A Fusion Network with Attention Mechanism
期刊论文
Journal of Physics: Conference Series, 2020, 卷号: 1693, 期号: 1
作者:
Chen,Tianyuan
;
Wang,Hongfei
;
Liu,Hao
;
Wu,Peng
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2021/02/18
Optimal Elevator Group Control via Deep Asynchronous Actor-Critic Learning
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 卷号: 31, 期号: 12, 页码: 5245-5256
作者:
Wei, Qinglai
;
Wang, Lingxiao
;
Liu, Yu
;
Polycarpou, Marios M.
收藏
  |  
浏览/下载:19/0
  |  
提交时间:2021/03/08
Elevators
Optimal control
Backpropagation
Machine learning
Neural networks
Learning (artificial intelligence)
Actor
–critic
adaptive dynamic programming
deep learning (DL)
elevator group control (EGC)
optimal control
reinforcement learning (RL)
Efficient cooperative structured control for a multi-joint biomimetic robotic fish
期刊论文
IEEE/ASME Transactions on Mechatronics, 2020, 卷号: 26, 期号: 5, 页码: 2506-2516
作者:
Yan Shuaizheng
;
Wu Zhengxing
;
Wang Jian
;
Tan Min
;
Yu Junzhi
收藏
  |  
浏览/下载:0/0
  |  
提交时间:2023/05/31
Gesture recognition based on deep deformable 3D convolutional neural networks
期刊论文
PATTERN RECOGNITION, 2020, 期号: 107, 页码: 12
作者:
Zhang, Yifan
;
Shi, Lei
;
Wu, Yi
;
Cheng, Ke
;
Cheng, Jian
收藏
  |  
浏览/下载:27/0
  |  
提交时间:2020/08/31
Gesture recognition
Spatiotemporal deformable convolution
Spatiotemporal convolutional neural network
Accelerating Minibatch Stochastic Gradient Descent Using Typicality Sampling
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 卷号: 31, 期号: 11, 页码: 4649-4659
作者:
Peng, Xinyu
;
Li, Li
;
Wang, Fei-Yue
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2021/01/06
Training
Convergence
Approximation algorithms
Stochastic processes
Estimation
Optimization
Acceleration
Batch selection
machine learning
minibatch stochastic gradient descent (SGD)
speed of convergence
Scene-unified image translation for visual localization
会议论文
Abu Dhabi, United Arab Emirates, 2020.10.25-2020.10.28
作者:
Sheng Han
;
Wei Gao
;
Yiming Wan
;
Yihong Wu
收藏
  |  
浏览/下载:12/0
  |  
提交时间:2020/10/16
Relaxed Stability Criteria for Neural Networks With Time-Varying Delay Using Extended Secondary Delay Partitioning and Equivalent Reciprocal Convex Combination Techniques
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 卷号: 31, 期号: 10, 页码: 4157-4169
作者:
Wang, Shenquan
;
Ji, Wenchengyu
;
Jiang, Yulian
;
Liu, Derong
收藏
  |  
浏览/下载:32/0
  |  
提交时间:2021/01/07
Delays
Asymptotic stability
Artificial neural networks
Linear matrix inequalities
Stability criteria
Automation
Equivalent reciprocal convex combination
extended secondary delay partitioning
global asymptotic stability
neural networks (NNs)
time-varying delay
A multi-view attention-based deep learning system for online deviant content detection
期刊论文
WORLD WIDE WEB-INTERNET AND WEB INFORMATION SYSTEMS, 2020, 页码: 24
作者:
Liang, Yunji
;
Guo, Bin
;
Yu, Zhiwen
;
Zheng, Xiaolong
;
Wang, Zhu
收藏
  |  
浏览/下载:16/0
  |  
提交时间:2021/01/07
Deviant content
Deep learning
Ensemble learning
View attention
Social media
Complex-Valued Discrete-Time Neural Dynamics for Perturbed Time-Dependent Complex Quadratic Programming With Applications
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 卷号: 31, 期号: 9, 页码: 3555-3569
作者:
Qi, Yimeng
;
Jin, Long
;
Wang, Yaonan
;
Xiao, Lin
;
Zhang, Jiliang
收藏
  |  
浏览/下载:20/0
  |  
提交时间:2021/01/07
Computational modeling
Convergence
Mathematical model
Recurrent neural networks
Perturbation methods
Robots
Numerical models
Complex domain
discrete-time neural dynamics (DTND)
quasi-Newton Broyden-Fletcher-Goldfarb-Shanno (BFGS)
quadratic programming (QP)
Single shot multi-oriented text detection based on local and non-local features
期刊论文
INTERNATIONAL JOURNAL ON DOCUMENT ANALYSIS AND RECOGNITION, 2020, 期号: 2020, 页码: 241-252
作者:
Li, XiaoQian
;
Liu, Jie
;
Zhang, ShuWu
;
Zhang, GuiXuan
;
Zheng, Yang
收藏
  |  
浏览/下载:71/0
  |  
提交时间:2020/09/07
Text detection
Natural scene text
Convolutional neural network
Attention mechanism
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