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Analysis of the influence of trust in opposing opinions: An inclusiveness-degree based Signed Deffuant-Weisbush model
期刊论文
INFORMATION FUSION, 2024, 卷号: 104, 页码: 11
作者:
Jiang, Bo
;
Zhao, Yiyi
;
Dong, Jianglin
;
Hu, Jiangping
收藏
  |  
浏览/下载:1/0
  |  
提交时间:2024/02/22
Deffuant-Weisbush model
Inclusiveness-degree function
Signed network
Opinion formation
Black swan phenomenon
Calibrating the Early Cretaceous Urho Pterosaur Fauna in Junggar Basin and implications for the evolution of the Jehol Biota
期刊论文
GEOLOGICAL SOCIETY OF AMERICA BULLETIN, 2024, 卷号: 136, 期号: 1-2, 页码: 765-773
作者:
Zheng, Daran
;
Chang, Su -Chin
;
Ramezani, Jahandar
;
Xu, Xing
;
Xu, Honghe
收藏
  |  
浏览/下载:0/0
  |  
提交时间:2024/05/15
Identification of wetland conservation and restoration priorities in regions of oil extraction in the Yellow River Delta using circuit theory modelling
期刊论文
ECOLOGICAL INDICATORS, 2023, 卷号: 154, 页码: 11
作者:
Wu, Yuru
;
Hong, Tao
;
Meng, Ling
;
Xiao, Luxiang
;
Li, Yunzhao
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2024/01/26
Circuit theory modelling
Oil production
Effectiveness of protected areas
Wetland conservation
Restoration prioritization
The Yellow River Delta
LARNeXt: End-to-End Lie Algebra Residual Network for Face Recognition
期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 卷号: 45, 期号: 10, 页码: 11961-11976
作者:
Yang, Xiaolong
;
Jia, Xiaohong
;
Gong, Dihong
;
Yan, Dong-Ming
;
Li, Zhifeng
收藏
  |  
浏览/下载:8/0
  |  
提交时间:2023/11/16
Face recognition
lie algebra
pose estimation
profile face
Online Active Continual Learning for Robotic Lifelong Object Recognition
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 页码: 15
作者:
Nie, Xiangli
;
Deng, Zhiguang
;
He, Mingdong
;
Fan, Mingyu
;
Tang, Zheng
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2023/11/16
Task analysis
Robots
Data models
Object recognition
Learning systems
Training
Heuristic algorithms
Catastrophic forgetting
lifelong object recognition
online active learning (OAL)
online continual learning (OCL)
Experimental study on internal flow structure and dynamics of dense liquid-particle flow down inclined channel
期刊论文
EXPERIMENTS IN FLUIDS, 2023, 卷号: 64, 期号: 9, 页码: 150
作者:
Sun, Yunhui
;
Jiao, Jiajun
;
An Y(安翼)
;
Wang, Xiaoliang
;
Liu, Qingquan
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2023/09/26
Attention Spiking Neural Networks
期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 卷号: 45, 期号: 8, 页码: 9393-9410
作者:
Yao, Man
;
Zhao, Guangshe
;
Zhang, Hengyu
;
Hu, Yifan
;
Deng, Lei
收藏
  |  
浏览/下载:8/0
  |  
提交时间:2023/11/17
Attention mechanism
efficient neuromorphic inference
neuromorphic computing
spiking neural network
Real-time continuous detection and recognition of dynamic hand gestures in untrimmed sequences based on end-to-end architecture with 3D DenseNet and LSTM
期刊论文
MULTIMEDIA TOOLS AND APPLICATIONS, 2023, 页码: 38
作者:
Lu, Zhi
;
Qin, Shiyin
;
Lv, Pin
;
Sun, Liguo
;
Tang, Bo
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2023/11/17
Continuous detection
Gesture recognition
Long short-term memory
3D densely connected convolutional networks
Connectionist temporal classification
Canonical correlation analysis
A Novel Biologically Inspired Structural Model for Feature Correspondence
期刊论文
IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS, 2023, 卷号: 15, 期号: 2, 页码: 844-854
作者:
Lu, Yan-Feng
;
Yang, Xu
;
Li, Yi
;
Yu, Qian
;
Liu, Zhi-Yong
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2023/11/17
Visualization
Biological system modeling
Biology
Brain modeling
Biological information theory
Task analysis
Strain
Appearance feature descriptor
biologically inspired model
feature correspondence
feature representation
graph matching (GM)
graph structure
Semisupervised Progressive Representation Learning for Deep Multiview Clustering
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 页码: 15
作者:
Chen, Rui
;
Tang, Yongqiang
;
Xie, Yuan
;
Feng, Wenlong
;
Zhang, Wensheng
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2023/11/17
Representation learning
Training
Data models
Task analysis
Complexity theory
Semisupervised learning
Optimization
Deep clustering
multiview clustering
progressive sample learning
semisupervised learning
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