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	CNN-Based Broad Learning for Cross-Domain Emotion Classification 期刊论文 TSINGHUA SCIENCE AND TECHNOLOGY, 2023, 卷号: 28, 期号: 2, 页码: 360-369 作者: Zeng, Rong; Liu, Hongzhan; Peng, Sancheng; Cao, Lihong; Yang, Aimin 收藏 \| 浏览/下载：26/0 \| 提交时间：2022/11/14 Measurement Deep learning Adaptation models Feature extraction Convolutional neural networks Data mining Task analysis cross-domain emotion classification CNN broad learning classifier co-training
	Multimodal Unknown Surface Material Classification and Its Application to Physical Reasoning 期刊论文 IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2022, 卷号: 18, 期号: 7, 页码: 4406-4416 作者: Wei, Junhang; Cui, Shaowei; Hu, Jingyi; Hao, Peng; Wang, Shuo 收藏 \| 浏览/下载：21/0 \| 提交时间：2022/06/10 Robots Convolutional neural networks Visualization Informatics Feature extraction Task analysis Haptic interfaces Auditory and haptic information deep learning multimodal fusion physical reasoning unknown surface material classification (USMC)
	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：37/0 \| 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: 收藏 \| 浏览/下载：9/0 \| 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
	Structure-Aware Prototypical Neural Process for Few-Shot Graph Classification 期刊论文 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 15 作者: Lin, Xixun; Li, Zhao; Zhang, Peng; Liu, Luchen; Zhou, Chuan 收藏 \| 浏览/下载：14/0 \| 提交时间：2023/02/07 Task analysis Kernel Training Decoding Stochastic processes Predictive models Computational modeling Few-shot learning graph classification graph neural networks (GNNs) neural process (NP)
	Incremental Learning With Open-Set Recognition for Remote Sensing Image Scene Classification 期刊论文 IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 卷号: 60, 页码: 16 作者: Liu, Weiwei; Nie, Xiangli; Zhang, Bo; Sun, Xian 收藏 \| 浏览/下载：23/0 \| 提交时间：2022/07/25 Task analysis Feature extraction Data models Computational modeling Learning systems Training Support vector machines Deep learning incremental learning open-set recognition (OSR) remote sensing (RS) image scene classification
	Incremental Learning With Open-Set Recognition for Remote Sensing Image Scene Classification 期刊论文 IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 卷号: 60, 页码: 16 作者: Liu, Weiwei; Nie, Xiangli; Zhang, Bo; Sun, Xian 收藏 \| 浏览/下载：3/0 \| 提交时间：2023/02/07 Task analysis Feature extraction Data models Computational modeling Learning systems Training Support vector machines Deep learning incremental learning open-set recognition (OSR) remote sensing (RS) image scene classification
	A Minimax Probability Machine for Nondecomposable Performance Measures 期刊论文 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 13 作者: Luo, Junru; Qiao, Hong; Zhang, Bo 收藏 \| 浏览/下载：6/0 \| 提交时间：2022/04/02 Measurement Task analysis Covariance matrices Support vector machines Prediction algorithms Minimization Kernel Imbalanced classification minimax probability machine nondecomposable performance measures
	A Minimax Probability Machine for Nondecomposable Performance Measures 期刊论文 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 13 作者: Luo, Junru; Qiao, Hong; Zhang, Bo 收藏 \| 浏览/下载：26/0 \| 提交时间：2022/01/27 Measurement Task analysis Covariance matrices Support vector machines Prediction algorithms Minimization Kernel Imbalanced classification minimax probability machine nondecomposable performance measures
	Meta-Prototypical Learning for Domain-Agnostic Few-Shot Recognition 期刊论文 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 期号: 1, 页码: 7 作者: Wang, Rui-Qi; Zhang, Xu-Yao; Liu, Cheng-Lin 收藏 \| 浏览/下载：3/0 \| 提交时间：2022/01/27 Task analysis Testing Training Prototypes Learning systems Adaptation models Pattern recognition Domain-agnostic few-shot recognition image classification meta-learning prototypical learning

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