机构

• 地理科学与资源研究所 [5]
• 自动化研究所 [3]
• 数学与系统科学研究院 [1]
• 中国科学院大学 [1]
• 重庆绿色智能技术研究... [1]
• 武汉岩土力学研究所 [1]
• 更多

采集方式

• OAI收割 [13]
• iSwitch采集 [1]

内容类型

• 期刊论文 [12]
• SCI/SSCI论文 [2]

发表日期

• 2023 [2]
• 2022 [2]
• 2021 [3]
• 2016 [2]
• 2014 [2]
• 2013 [2]
• 更多

学科主题

筛选

浏览/检索结果: 共14条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序提交时间升序提交时间降序作者升序作者降序发表日期升序发表日期降序 基于消失点检测算法的束靶红外图像畸变校正 期刊论文  OAI收割 强激光与粒子束, 2023, 卷号: 35 作者:  陈丽萍;  许永建;  於子辰;  汪日新;  彭旭峰   |  收藏  |  浏览/下载：19/0  |  提交时间：2023/11/10 vanishing point detection  linear detection  image rectification  line segment clustering  neutral beam diagnosis  消失点检测  直线检测  图像校正  线段聚类  中性束诊断   A Triple-Stage Robust Ellipse Fitting Algorithm Based on Outlier Removal 期刊论文  OAI收割 IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2023, 卷号: 72, 页码: 14 作者:  Long, Chenrong;  Hu, Qinglei;  Zhao, Mingyang;  Li, Dongyu;  Ouyang, Zhenchao   |  收藏  |  浏览/下载：13/0  |  提交时间：2023/12/21 Ellipse fitting  linear clustering  outlier removal  probability density  spacecraft pose measurement   Tri-clustering-based exploration of spatio-temporal heterogeneity of six criteria air pollutants and their relationships in China 期刊论文  OAI收割 FRONTIERS IN EARTH SCIENCE, 2022, 卷号: 10, 页码: 14 作者:  Wu, Xiaojing   |  收藏  |  浏览/下载：31/0  |  提交时间：2022/12/09 air pollution  varying relationships  tri-clustering  non-linear  China   Tri-clustering-based exploration of spatio-temporal heterogeneity of six criteria air pollutants and their relationships in China 期刊论文  OAI收割 FRONTIERS IN EARTH SCIENCE, 2022, 卷号: 10, 页码: 14 作者:  Wu, Xiaojing   |  收藏  |  浏览/下载：17/0  |  提交时间：2022/12/09 air pollution  varying relationships  tri-clustering  non-linear  China   Time Series Segmentation Clustering: A New Method for S-Phase Picking in Microseismic Data 期刊论文  OAI收割 IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2021, 页码: 5 作者:  Zhu, Xinhao;  Chen, Bingrui;  Wang, Xu;  Li, Tao   |  收藏  |  浏览/下载：22/0  |  提交时间：2022/02/17 Data mining  Clustering algorithms  Monitoring  Time series analysis  Linear programming  Rocks  Partitioning algorithms  K-means algorithm  microseismic monitoring  phase arrival picking  S-wave   Directed Graph Clustering Algorithms, Topology, and Weak Links 期刊论文  OAI收割 IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2021, 页码: 15 作者:  Zhang, Xiao;  Lian, Bosen;  Lewis, Frank L.;  Wan, Yan;  Cheng, Daizhan   |  收藏  |  浏览/下载：32/0  |  提交时间：2022/04/02 Directed graphs  Clustering algorithms  Symmetric matrices  Topology  Kernel  Network topology  Linear programming  Directed graph clustering  nonspectral algorithm  Rayleigh's quotient  weighted kernel k-means   Relationship between two types of heat waves in northern East Asia and temperature anomalies in Eastern Europe 期刊论文  OAI收割 Environmental Research Letters, 2021, 卷号: 16, 期号: 2 作者:  Yang,Xiaoye;  Zeng,Gang;  Zhang,Shiyue;  Hao,Zhixin;  Iyakaremye,Vedaste   |  收藏  |  浏览/下载：35/0  |  提交时间：2021/03/23 heat wave  clustering  Northern East Asia  Eastern Europe  linear baroclinic model   Improved superpixel-based polarimetric synthetic aperture radar image classification integrating color features 期刊论文  iSwitch采集 Journal of applied remote sensing, 2016, 卷号: 10, 页码: 15 作者:  Xing, Yanxiao;  Zhang, Yi;  Li, Ning;  Wang, Robert;  Hu, Guixiang 收藏  |  浏览/下载：49/0  |  提交时间：2019/05/09 Polarimetric synthetic aperture radar  Color features  Polarimetric decomposition  Superpixel  Simple linear iterative clustering  Image classification   A novel method based on the fuzzy C-means clustering to calculate the maximal Lyapunov exponent from small data 期刊论文  OAI收割 ACTA PHYSICA SINICA, 2016, 卷号: 65, 期号: 2, 页码: 7 作者:  Zhou Shuang;  Feng Yong;  Wu Wen-Yuan;  Wang Wei-Hua   |  收藏  |  浏览/下载：20/0  |  提交时间：2018/03/15 maximal Lyapunov exponent  linear region  fuzzy C-means clustering   Deep auto-encoder based clustering 期刊论文  OAI收割 INTELLIGENT DATA ANALYSIS, 2014, 卷号: 18, 页码: S65-S76 作者:  Song, Chunfeng;  Huang, Yongzhen;  Liu, Feng;  Wang, Zhenyu;  Wang, Liang 收藏  |  浏览/下载：47/0  |  提交时间：2015/08/12 Clustering  deep auto-encoder  non-linear transformation  complicated data