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北京航空航天大学 [40]

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限定条件	专题：北京航空航天大学第一署名单位第一作者单位通讯作者单位

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	A Novel Semi-Supervised Learning Method Based on Fast Search and Density Peaks 期刊论文 COMPLEXITY, 2019, 卷号: 2019 作者: Gao, Fei; Huang, Teng; Sun, Jinping; Hussain, Amir; Yang, Erfu 收藏 \| 浏览/下载：15/0 \| 提交时间：2019/12/30 Cluster analysis Deep learning Discriminant analysis Fisher information matrix Image recognition Iterative methods Learning algorithms Machine learning Radar Radar imaging Remote sensing Classification results Clustering information Clustering methods Kernel fisher discriminant analysis Recognition algorithm Semi supervisions Semi- supervised learning Semi-supervised learning methods Supervised learning
	A Novel Semi-Supervised Convolutional Neural Network Method for Synthetic Aperture Radar Image Recognition 期刊论文 Cognitive Computation, 2019 作者: Yue, Z.; Gao, F.; Xiong, Q.; Wang, J.; Huang, T. 收藏 \| 浏览/下载：3/0 \| 提交时间：2019/12/30 Automatic target recognition Convolution Discriminant analysis Image recognition Machine learning Matrix algebra Neural networks Probability Radar imaging Supervised learning Synthetic aperture radar Class probabilities Cognitive learning Convolutional neural network Linear discriminant analysis Recognition accuracy Semi- supervised learning Semi-supervised method Stationary targets Radar target recognition
	Deep learning provides a new computed tomography-based prognostic biomarker for recurrence prediction in high-grade serous ovarian cancer 期刊论文 RADIOTHERAPY AND ONCOLOGY, 2019, 卷号: 132, 页码: 171-177 作者: Wang, Shuo; Liu, Zhenyu; Rong, Yu; Zhou, Bin; Bai, Yan 收藏 \| 浏览/下载：4/0 \| 提交时间：2019/12/30 Deep learning High-grade serous ovarian cancer Recurrence Prognosis Computed tomography Artificial intelligence Semi-supervised learning Auto encoder Unsupervised learning
	A Semi-Supervised Synthetic Aperture Radar (SAR) Image Recognition Algorithm Based on an Attention Mechanism and Bias-Variance Decomposition 期刊论文 IEEE ACCESS, 2019, 卷号: 7, 页码: 108617-108632 作者: Gao, Fei; Shi, Wei; Wang, Jun; Hussain, Amir; Zhou, Huiyu 收藏 \| 浏览/下载：11/0 \| 提交时间：2019/12/30 Attention mechanism bias-variance decomposition SAR target recognition semi-supervised learning
	Integrated GANs: Semi-Supervised SAR Target Recognition 期刊论文 IEEE ACCESS, 2019, 卷号: 7, 页码: 113999-114013 作者: Gao, Fei; Liu, Qiuyang; Sun, Jinping; Hussain, Amir; Zhou, Huiyu 收藏 \| 浏览/下载：4/0 \| 提交时间：2019/12/30 Synthetic aperture radar (SAR) generative adversarial networks (GANs) semi-supervised learning generation recognition
	Generalization error bound of semi-supervised learning with l(1) regularization in sum space 期刊论文 NEUROCOMPUTING, 2018, 卷号: 275, 页码: 1793-1800 作者: Liu, Chao; Chen, Di-Rong 收藏 \| 浏览/下载：4/0 \| 提交时间：2019/12/30 Semi-supervised learning Generalization error bound Learning rate l(1) regularizer Reproducing kernel Hilbert space Sum space
	Semi-Supervised Cross-View Projection-Based Dictionary Learning for Video-Based Person Re-Identification 期刊论文 IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2018, 卷号: 28, 页码: 2599-2611 作者: Zhu, Xiaoke; Jing, Xiao-Yuan; Yang, Liang; You, Xinge; Chen, Dan 收藏 \| 浏览/下载：2/0 \| 提交时间：2019/12/30 Video-based person re-identification semi-supervised learning dictionary learning crass-view learning
	Semi-supervised classification based on class certainty of samples [基于样本类别确定度的半监督分类] 期刊论文 Beijing Hangkong Hangtian Daxue Xuebao/Journal of Beijing University of Aeronautics and Astronautics, 2018, 卷号: 44, 页码: 1941-1951 作者: Gao, F.; Zhu, F. 收藏 \| 浏览/下载：8/0 \| 提交时间：2019/12/30 Discriminant analysis Image classification Image retrieval Radar imaging Remote sensing Supervised learning Support vector machines Synthetic aperture radar Class certainty Kernel methods Linear discriminant analysis Remote sensing images Semi-supervised classification Learning algorithms
	Semi-Supervised Generative Adversarial Nets with Multiple Generators for SAR Image Recognition 期刊论文 SENSORS, 2018, 卷号: 18 作者: Gao, Fei; Ma, Fei; Wang, Jun; Sun, Jinping; Yang, Erfu 收藏 \| 浏览/下载：5/0 \| 提交时间：2019/12/30 Generative Adversarial Networks (GANs) semi-supervised recognition Synthetic Aperture Radar (SAR) deep learning
	SSDMV: Semi-supervised Deep Social Spammer Detection by Multi-View Data Fusion 会议论文 2018 IEEE INTERNATIONAL CONFERENCE ON DATA MINING (ICDM), 2018-01-01 作者: Li, Chaozhuo; Wang, Senzhang; He, Lifang; Yu, Philip S.; Liang, Yanbo 收藏 \| 浏览/下载：5/0 \| 提交时间：2019/12/30 Social Spammer Detection Deep Learning Semi-supervised Learning

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