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Hard-Soft Pseudo Labels Guided Semi-Supervised Learning for Point Cloud Classification
期刊论文
IEEE SIGNAL PROCESSING LETTERS, 2024, 卷号: 31, 页码: 1059-1063
作者:
He, Yuan
;
Hu, Guyue
;
Yu, Shan
收藏
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浏览/下载:1/0
  |  
提交时间:2024/07/22
Point cloud compression
Training
Three-dimensional displays
Self-supervised learning
Semisupervised learning
Task analysis
Unsupervised learning
Point cloud
3D vision
semi-supervised learning
contrastive learning
pseudo label
SMIN: Semi-Supervised Multi-Modal Interaction Network for Conversational Emotion Recognition
期刊论文
IEEE TRANSACTIONS ON AFFECTIVE COMPUTING, 2023, 卷号: 14, 期号: 3, 页码: 2415-2429
作者:
Lian, Zheng
;
Liu, Bin
;
Tao, Jianhua
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2023/11/15
Emotion recognition
Feature extraction
Training
Acoustics
Semisupervised learning
Benchmark testing
Hidden Markov models
Semi-supervised multi-modal interaction network (SMIN)
conversational emotion recognition
semi-supervised learning
intra-modal interaction
cross-modal interaction
The Human Continuity Activity Semisupervised Recognizing Model for Multiview IoT Network
期刊论文
IEEE INTERNET OF THINGS JOURNAL, 2023, 卷号: 10, 期号: 11, 页码: 9398-9410
作者:
Yuan, Ruiwen
;
Wang, Junping
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  |  
浏览/下载:5/0
  |  
提交时间:2023/11/17
Feature extraction
Sensors
Human activity recognition
Internet of Things
Data models
Sensor phenomena and characterization
Data mining
Activity feature extraction
deep learning
human activity recognition (HAR)
semisupervised learning
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:
收藏
  |  
浏览/下载:8/0
  |  
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
Dual Structural Knowledge Interaction for Domain Adaptation
期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2023, 卷号: 25, 页码: 9057-9070
作者:
Zuo, Yukun
;
Yao, Hantao
;
Zhuang, Liansheng
;
Xu, Changsheng
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  |  
浏览/下载:1/0
  |  
提交时间:2024/02/21
Manifolds
Feature extraction
Adaptation models
Representation learning
Task analysis
Semisupervised learning
Pattern recognition
Domain adaptation
structural knowledge
dual structural knowledge interaction
Online Semisupervised Active Classification for Multiview PolSAR Data
期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2022, 卷号: 52, 期号: 6, 页码: 4415-4429
作者:
Nie, Xiangli
;
Fan, Mingyu
;
Huang, Xiayuan
;
Yang, Wenjing
;
Zhang, Bo
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浏览/下载:46/0
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提交时间:2022/07/25
Task analysis
Feature extraction
Heuristic algorithms
Data models
Manifolds
Semisupervised learning
Training
Online active learning
online multiview learning
online semisupervised learning (SSL)
polarimetric synthetic aperture radar (PolSAR) data classification
Online Semisupervised Active Classification for Multiview PolSAR Data
期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2022, 卷号: 52, 期号: 6, 页码: 4415-4429
作者:
Nie, Xiangli
;
Fan, Mingyu
;
Huang, Xiayuan
;
Yang, Wenjing
;
Zhang, Bo
收藏
  |  
浏览/下载:18/0
  |  
提交时间:2023/02/07
Task analysis
Feature extraction
Heuristic algorithms
Data models
Manifolds
Semisupervised learning
Training
Online active learning
online multiview learning
online semisupervised learning (SSL)
polarimetric synthetic aperture radar (PolSAR) data classification
Margin-Based Adversarial Joint Alignment Domain Adaptation
期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2022, 卷号: 32, 期号: 4, 页码: 2057-2067
作者:
Zuo, Yukun
;
Yao, Hantao
;
Zhuang, Liansheng
;
Xu, Changsheng
收藏
  |  
浏览/下载:22/0
  |  
提交时间:2022/06/10
Feature extraction
Adaptation models
Image reconstruction
Generative adversarial networks
Semisupervised learning
Data models
Training
Domain adaptation
joint alignment module
margin-based generative module
GPENs: Graph Data Learning With Graph Propagation-Embedding Networks
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 14
作者:
Jiang, Bo
;
Wang, Leiling
;
Cheng, Jian
;
Tang, Jin
;
Luo, Bin
收藏
  |  
浏览/下载:27/0
  |  
提交时间:2022/01/27
Task analysis
Computer architecture
Semisupervised learning
Deep learning
Laplace equations
Data models
Labeling
Graph embedding
graph neural networks (GNNs)
graph propagation
semi-supervised learning
Dynamic Graph Learning Convolutional Networks for Semi-supervised Classification
期刊论文
ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS, 2021, 卷号: 17, 期号: 1, 页码: 13
作者:
Fu, Sichao
;
Liu, Weifeng
;
Guan, Weili
;
Zhou, Yicong
;
Tao, Dapeng
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  |  
浏览/下载:43/0
  |  
提交时间:2021/06/15
Graph representation learning
graph convolutional networks
semisupervised classification
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