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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 \| 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 收藏 \| 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 收藏 \| 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 收藏 \| 浏览/下载：46/0 \| 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 收藏 \| 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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