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科研机构
北京航空航天大学 [205]
内容类型
会议论文 [125]
期刊论文 [80]
发表日期
2019 [18]
2018 [35]
2017 [18]
2016 [20]
2015 [28]
2014 [33]
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专题:北京航空航天大学
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Research on automatic target detection and recognition based on deep learning
期刊论文
JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION, 2019, 卷号: 60, 页码: 44-50
作者:
Wang, Jia
;
Liu, Chen
;
Fu, Tian
;
Zheng, Lili
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2019/12/30
Image processing
Target detection
Target recognition
In-depth learning
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
Simple very deep convolutional network for robust hand pose regression from a single depth image
期刊论文
PATTERN RECOGNITION LETTERS, 2019, 卷号: 119, 页码: 205-213
作者:
Fan, Qing
;
Shen, Xukun
;
Hu, Yong
;
Yu, Changjian
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2019/12/30
Hand pose estimation
Deep convolutional network
Batch normalization
Low-dimensional embedding
Depth image
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
A Characteristic Extraction Algorithm Based on Blocking Star Images
期刊论文
INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE, 2019, 卷号: 33
作者:
Du, Yun
;
Wen, Desheng
;
Liu, Guizhong
;
Qiu, Shi
;
Li, Ni
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2019/12/30
Star image
characteristics
fuse
block
stitching
Insulator Fault Recognition Based on Spatial Pyramid Pooling Networks with Transfer Learning (Match 2018)
会议论文
ICARM 2018 - 2018 3rd International Conference on Advanced Robotics and Mechatronics
作者:
Bai, R.
;
Cao, H.
;
Yu, Y.
;
Wang, F.
;
Dang, W.
收藏
  |  
浏览/下载:8/0
  |  
提交时间:2019/12/30
Deep neural networks
Electric insulators
Electric power transmission
Neural networks
Robotics
Fault recognition
small dataset
Spatial pyramids
Transfer learning
variance size of images
Image processing
A Low-Cost Solution of Eye Movement Data Acquisition Based on Computer Vision
期刊论文
Lecture Notes in Electrical Engineering, 2019, 卷号: 527, 页码: 229-237
作者:
Gu, H.
;
Du, J.
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/12/30
Computer hardware
Computer software
Computer vision
Cost engineering
Costs
Data acquisition
Engineering research
Hardware
Human engineering
Image recognition
Man machine systems
Systems engineering
Eye movement datum
Hardware cost
Human factor engineerings
Image recognition technology
Pupillary reflexology
Eye movements
Low-Resolution Face Recognition in the Wild via Selective Knowledge Distillation
期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2019, 卷号: 28, 页码: 2051-2062
作者:
收藏
  |  
浏览/下载:12/0
  |  
提交时间:2019/12/30
Face recognition in the wild
two-stream architecture
knowledge distillation
CNNs
Learning Discriminative 3D Shape Representations by View Discerning Networks
期刊论文
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS, 2019, 卷号: 25, 页码: 2896-2909
作者:
Leng, Biao
;
Zhang, Cheng
;
Zhou, Xiaocheng
;
Xu, Cheng
;
Xu, Kai
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2019/12/30
View-based 3D shape recognition
convolutional neural network
image quality judgment
Learning Match Kernels on Grassmann Manifolds for Action Recognition
期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2019, 卷号: 28, 页码: 205-215
作者:
Zhang, Lei
;
Zhen, Xiantong
;
Shao, Ling
;
Song, Jingkuan
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2019/12/30
Activity recognition
image motion analysis
machine learning
neural networks
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