NAOC Open IR

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Open clusters identifying by multi-scale density feature learning 期刊论文
ASTROPHYSICS AND SPACE SCIENCE, 2021, 卷号: 366, 期号: 2, 页码: 11
Authors:  Xiang, Yaobing;  Xi, Jiangbo;  Shao, Zhengyi;  Wang, Min;  Yang, Yun
Favorite  |  View/Download:5/0  |  Submit date:2021/12/06
Open cluster  Multi-scale  Kernel density estimation  Machine learning  
Open clusters identifying by multi-scale density feature learning 期刊论文
ASTROPHYSICS AND SPACE SCIENCE, 2021, 卷号: 366, 期号: 2, 页码: 11
Authors:  Xiang, Yaobing;  Xi, Jiangbo;  Shao, Zhengyi;  Wang, Min;  Yang, Yun
Favorite  |  View/Download:8/0  |  Submit date:2021/12/06
Open cluster  Multi-scale  Kernel density estimation  Machine learning  
Open clusters identifying by multi-scale density feature learning 期刊论文
ASTROPHYSICS AND SPACE SCIENCE, 2021, 卷号: 366, 期号: 2, 页码: 11
Authors:  Xiang, Yaobing;  Xi, Jiangbo;  Shao, Zhengyi;  Wang, Min;  Yang, Yun
Favorite  |  View/Download:4/0  |  Submit date:2021/12/06
Open cluster  Multi-scale  Kernel density estimation  Machine learning  
Individual Tree Extraction from Terrestrial LiDAR Point Clouds Based on Transfer Learning and Gaussian Mixture Model Separation 期刊论文
REMOTE SENSING, 2021, 卷号: 13, 期号: 2, 页码: 30
Authors:  Hui, Zhenyang;  Jin, Shuanggen;  Li, Dajun;  Ziggah, Yao Yevenyo;  Liu, Bo
Favorite  |  View/Download:4/0  |  Submit date:2021/12/06
individual tree extraction  LiDAR point clouds  transfer learning  kernel density estimation  Gaussian mixture model  
Individual Tree Extraction from Terrestrial LiDAR Point Clouds Based on Transfer Learning and Gaussian Mixture Model Separation 期刊论文
REMOTE SENSING, 2021, 卷号: 13, 期号: 2, 页码: 30
Authors:  Hui, Zhenyang;  Jin, Shuanggen;  Li, Dajun;  Ziggah, Yao Yevenyo;  Liu, Bo
Favorite  |  View/Download:5/0  |  Submit date:2021/12/06
individual tree extraction  LiDAR point clouds  transfer learning  kernel density estimation  Gaussian mixture model  
Individual Tree Extraction from Terrestrial LiDAR Point Clouds Based on Transfer Learning and Gaussian Mixture Model Separation 期刊论文
REMOTE SENSING, 2021, 卷号: 13, 期号: 2, 页码: 30
Authors:  Hui, Zhenyang;  Jin, Shuanggen;  Li, Dajun;  Ziggah, Yao Yevenyo;  Liu, Bo
Favorite  |  View/Download:5/0  |  Submit date:2021/12/06
individual tree extraction  LiDAR point clouds  transfer learning  kernel density estimation  Gaussian mixture model  
Searching for Rare Celestial Objects Automatically from Stellar Spectra of the Sloan Digital Sky Survey Data Release Eight 期刊论文
SPECTROSCOPY AND SPECTRAL ANALYSIS, 2015, 卷号: 35, 期号: 3, 页码: 834-840
Authors:  Si Jian-min;  Luo A-li;  Wu Fu-zhao;  Wu Yi-hong
Favorite  |  View/Download:11/0  |  Submit date:2016/11/11
Kernel Density Estimation  Knn  Rare Celestial Objects  Data Mining  Sdss