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北京航空航天大学 [76]

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期刊论文 [45]

会议论文 [31]

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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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	Race Classification from Face using Deep Convolutional Neural Networks 会议论文 ICARM 2018 - 2018 3rd International Conference on Advanced Robotics and Mechatronics 作者: Wu, X.; Yuan, P.; Wang, T.; Gao, D.; Cai, Y. 收藏 \| 浏览/下载：7/0 \| 提交时间：2019/12/30 Convolution Database systems Deep neural networks Face recognition Learning systems Machine learning Neural networks Robotics Search engines Branch structure Convolutional neural network Face alignment Machine learning methods Merge networks Multi-scale features Race classification State of the art Classification (of information)
	Characterizing Adversarial Samples of Convolutional Neural Networks 会议论文 Proceedings - 2018 11th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2018, 2018-10-13 作者: Jiang, C.; Zhao, Q.; Liu, Y. 收藏 \| 浏览/下载：6/0 \| 提交时间：2019/12/30 Biomedical engineering Convolution Frequency domain analysis Image processing Neural networks Semantics Convolutional neural network High frequency domain Non-targeted Semantic relevance Small perturbations Solid basis Deep neural networks
	An On-Line and Adaptive Method for Detecting Abnormal Events in Videos Using Spatio-Temporal ConvNet 期刊论文 APPLIED SCIENCES-BASEL, 2019, 卷号: 9 作者: Bouindour, Samir; Snoussi, Hichem; Hittawe, Mohamad Mazen; Tazi, Nacef; Wang, Tian 收藏 \| 浏览/下载：6/0 \| 提交时间：2019/12/30 abnormal event detection deep learning Convolutional Neural Network unsupervised learning online adaptive systems
	A deep automated skeletal bone age assessment model via region-based convolutional neural network 期刊论文 Future Generation Computer Systems, 2019, 卷号: 98, 页码: 54-59 作者: Liang, B.; Zhai, Y.; Tong, C.; Zhao, J.; Li, J. 收藏 \| 浏览/下载：24/0 \| 提交时间：2019/12/30 Cartilage Convolution Deep learning Diagnosis Forecasting Image segmentation Medical problems Musculoskeletal system Neural networks Object detection 10-fold cross-validation Biomedicine Bone age assessment Convolutional networks Convolutional neural network Learning techniques Mean absolute error Ossification center Bone
	Accelerate neural style transfer with super-resolution 期刊论文 Multimedia Tools and Applications, 2019 作者: Li, Z.; Zhou, F.; Yang, L.; Li, X.; Li, J. 收藏 \| 浏览/下载：18/0 \| 提交时间：2019/12/30 Deep learning Optical resolving power Program processors Convolutional networks High resolution image Image generations Neural network optimization Single images Style transfer Super resolution Transfer network Image reconstruction
	A Deep Path Planning Algorithm Based on CNNs for Perception Images 会议论文 Proceedings 2018 Chinese Automation Congress, CAC 2018, 2018-11-30 作者: Li, G.; Ma, Y. 收藏 \| 浏览/下载：13/0 \| 提交时间：2019/12/30 Computer games Convolution Deep learning Deep neural networks Learning algorithms Neural networks Robot programming Robots Stars Convolutional neural network End-to-end models Feature extracting Global path planning Modified a Path planning for robots Path-planning algorithm Scene understanding Motion planning
	A Deep Learning-based Visual Perception Approach for Mobile Robots 会议论文 Proceedings 2018 Chinese Automation Congress, CAC 2018, 2018-11-30 作者: Shan, G.; Wang, T.; Li, X.; Fang, Y.; Zhang, Y. 收藏 \| 浏览/下载：3/0 \| 提交时间：2019/12/30 Deep learning Deep neural networks Intelligent robots Mobile robots Vision Computer vision technology Computing platform Differential wheeled mobile robots Experimental platform Intelligent level Learning-based approach Neural network structures Visual perception Visual servoing
	EEG Classification of Motor Imagery Using a Novel Deep Learning Framework 期刊论文 SENSORS, 2019, 卷号: 19 作者: Dai, Mengxi; Zheng, Dezhi; Na, Rui; Wang, Shuai; Zhang, Shuailei 收藏 \| 浏览/下载：13/0 \| 提交时间：2019/12/30 EEG deep learning short-time Fourier transform convolutional neural network variational autoencoder
	Bearing fault diagnosis based on generalized S transform denoising and convolutional neural network 期刊论文 Lecture Notes in Electrical Engineering, 2019, 卷号: 529, 页码: 425-432 作者: Liu, W.; Han, M.; Chen, L. 收藏 \| 浏览/下载：7/0 \| 提交时间：2019/12/30 Bearings (structural) Convolution Deep learning Failure analysis Mathematical transformations Neural networks Statistical tests Bearing fault diagnosis Convolutional neural network Convolutional Neural Networks (CNN) De-noising Diagnosis methods Failure information Generalized S transform Recognition accuracy Fault detection
	Blur image identification with ensemble convolution neural networks 期刊论文 SIGNAL PROCESSING, 2019, 卷号: 155, 页码: 73-82 作者: Wang, Rui; Li, Wei; Zhang, Liang 收藏 \| 浏览/下载：2/0 \| 提交时间：2019/12/30 Blur image classification Image blur modeling SFA plus SFGN model Batch normalization Ensemble deep convolution neural network

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