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科研机构
北京航空航天大学 [71]
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会议论文 [37]
期刊论文 [34]
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2019 [17]
2018 [16]
2017 [9]
2016 [9]
2015 [10]
2014 [4]
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专题:北京航空航天大学
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Recognition of polymer configurations by unsupervised learning
期刊论文
PHYSICAL REVIEW E, 2019, 卷号: 99, 页码: 043307
作者:
Xu, Xin
;
Wei, Qianshi
;
Li, Huaping
;
Wang, Yuzhang
;
Chen, Yuguo
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2019/12/30
Clustering algorithms
Polymers
Principal component analysis
Unsupervised learning
Data clustering
Diffusion maps
Dimensionality reduction techniques
Hybrid neural networks
Low-dimensional representation
Order parameter
Polymeric systems
Salient features
Machine learning
Unsupervised Learning of Accurate Camera Pose and Depth From Video Sequences With Kalman Filter
期刊论文
IEEE ACCESS, 2019, 卷号: 7, 页码: 32796-32804
作者:
Wang, Yan
;
Xu, Yu-Fan
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2019/12/30
Unsupervised learning
dense depth recovery
ego-motion
Kalman filter
decoupled
upsampling module
Unsupervised ego-motion and dense depth estimation with monocular video
会议论文
International Conference on Communication Technology Proceedings, ICCT, 2018-10-08
作者:
Xu, Y.
;
Wang, Y.
;
Guo, L.
收藏
  |  
浏览/下载:8/0
  |  
提交时间:2019/12/30
Deep learning
Motion estimation
Dense depth estimation
Depth
Ego motion
Ego-motion estimation
Learning from videos
Learning-based methods
Optical flow estimation
Unsupervised
Computer vision
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
Unsupervised Band Selection Method Based on Importance-Assisted Column Subset Selection
期刊论文
IEEE ACCESS, 2019, 卷号: 7, 页码: 517-527
作者:
Luo, Xiaoyan
;
Shen, Zhiqi
;
Xue, Rui
;
Wan, Han
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2019/12/30
Band selection
hyperspectral images
active gradient-reference
high-discriminating
Unsupervised Oil Tank Detection by Shape-Guide Saliency Model
期刊论文
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2019, 卷号: 16, 页码: 477-481
作者:
Jing, Minhao
;
Zhao, Danpei
;
Zhou, Min
;
Gao, Yue
;
Jiang, Zhiguo
收藏
  |  
浏览/下载:8/0
  |  
提交时间:2019/12/30
Object detection
oil tanks
remote sensing
saliency model
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
Sparsity Regularization Discriminant Projection for Feature Extraction
期刊论文
NEURAL PROCESSING LETTERS, 2019, 卷号: 49, 页码: 539-553
作者:
Yuan, Sen
;
Mao, Xia
;
Chen, Lijiang
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2019/12/30
Sparse representation
Feature extraction
Manifold learning
Unsupervised discriminant projection
Face recognition
Unsupervised Cross-Spectral Stereo Matching by Learning to Synthesize
会议论文
THIRTY-THIRD AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE / THIRTY-FIRST INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE / NINTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE, 2019-01-01
作者:
Liang, Mingyang
;
Guo, Xiaoyang
;
Li, Hongsheng
;
Wang, Xiaogang
;
Song, You
收藏
  |  
浏览/下载:8/0
  |  
提交时间:2019/12/30
Unsupervised Neural Machine Translation with SMT as Posterior Regularization
会议论文
THIRTY-THIRD AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE / THIRTY-FIRST INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE / NINTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE, 2019-01-01
作者:
Ren, Shuo
;
Zhang, Zhirui
;
Liu, Shujie
;
Zhou, Ming
;
Ma, Shuai
收藏
  |  
浏览/下载:15/0
  |  
提交时间:2019/12/30
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