机构

• 自动化研究所 [4]
• 地理科学与资源研究所 [2]
• 计算技术研究所 [2]
• 遥感与数字地球研究所 [1]
• 国家天文台 [1]
• 南京土壤研究所 [1]
• 更多

采集方式

• OAI收割 [14]
• iSwitch采集 [1]

内容类型

• 期刊论文 [12]
• 会议论文 [2]
• CNKI期刊论文 [1]

发表日期

• 2024 [1]
• 2022 [4]
• 2021 [4]
• 2020 [1]
• 2017 [1]
• 2015 [1]
• 更多

学科主题

筛选

浏览/检索结果: 共15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 Unified Classification and Rejection: A One-versus-all Framework 期刊论文  OAI收割 Machine Intelligence Research, 2024, 卷号: 21, 期号: 5, 页码: 870-887 作者:  Zhen Cheng;   Xu-Yao Zhang;   Cheng-Lin Liu   |  收藏  |  浏览/下载：11/0  |  提交时间：2024/09/12 Open set recognition  out-of-distribution detection  misclassification detection  convolutional prototype network  one versus-all  Dempster–Shafer theory of evidence   A light defect detection algorithm of power insulators from aerial images for power inspection 期刊论文  OAI收割 NEURAL COMPUTING & APPLICATIONS, 2022, 页码: 11 作者:  Yang, Lei;  Fan, Junfeng;  Song, Shouan;  Liu, Yanhong   |  收藏  |  浏览/下载：46/0  |  提交时间：2022/07/25 Insulator location  Defect identification  Transfer learning  Dempster-Shafer evidence theory   Comprehensive Evaluation of Electric Power Prediction Models Based on D-S Evidence Theory Combined with Multiple Accuracy Indicators 期刊论文  OAI收割 JOURNAL OF MODERN POWER SYSTEMS AND CLEAN ENERGY, 2022, 卷号: 10, 期号: 3, 页码: 597-605 作者:  Cui, Qiong;  Zhu, Jizhong;  Shu, Jie;  Huang, Lei;  Ma, Zetao   |  收藏  |  浏览/下载：20/0  |  提交时间：2023/11/21 Predictive models  Evidence theory  Biological system modeling  Power systems  Finite element analysis  Correlation  Analytical models  Dempster-Shafer (D-S) evidence theory  multiple accuracy indicators  electric power prediction model  comprehensive evaluation   A new oil spill detection algorithm based on Dempster-Shafer evidence theory CNKI期刊论文  OAI收割 2022 作者:  Tianlong ZHANG;  Jie GUO;  Chenqi XU;  Xi ZHANG;  Chuanyuan WANG   |  收藏  |  浏览/下载：6/0  |  提交时间：2024/12/18 synthetic aperture radar (SAR) data  oil spill detection  subjective Bayesian  Faster-region convolutional neural networks(RCNN)  Dempster-Shafer evidence theory   A novel dynamic gesture understanding algorithm fusing convolutional neural networks with hand-crafted features 期刊论文  OAI收割 JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION, 2022, 卷号: 83, 页码: 11 作者:  Liu, Yanhong;  Song, Shouan;  Yang, Lei;  Bian, Guibin;  Yu, Hongnian   |  收藏  |  浏览/下载：36/0  |  提交时间：2022/07/25 Dynamic gesture understanding  Transfer learning  Feature fusion  Dempster-Shafer evidence theory  Support vector machine   Inspection of Welding Defect Based on Multi-feature Fusion and a Convolutional Network 期刊论文  OAI收割 JOURNAL OF NONDESTRUCTIVE EVALUATION, 2021, 卷号: 40, 期号: 4, 页码: 11 作者:  Yang, Lei;  Fan, Junfeng;  Huo, Benyan;  Liu, Yanhong   |  收藏  |  浏览/下载：30/0  |  提交时间：2021/12/28 Welding defect  X-ray detection  Transfer learning  Multi-feature fusion  Dempster-Shafer evidence theory   A new oil spill detection algorithm based on Dempster-Shafer evidence theory 期刊论文  OAI收割 JOURNAL OF OCEANOLOGY AND LIMNOLOGY, 2021, 页码: 14 作者:  Zhang, Tianlong;  Guo, Jie;  Xu, Chenqi;  Zhang, Xi;  Wang, Chuanyuan   |  收藏  |  浏览/下载：43/0  |  提交时间：2021/11/09 synthetic aperture radar (SAR) data  oil spill detection  subjective Bayesian  Faster-region convolutional neural networks (RCNN)  Dempster-Shafer evidence theory   Fusion and Correction of Multi-Source Land Cover Products Based on Spatial Detection and Uncertainty Reasoning Methods in Central Asia 期刊论文  OAI收割 REMOTE SENSING, 2021, 卷号: 13, 期号: 2, 页码: 23 作者:  Liu, Keling;  Xu, Erqi   |  收藏  |  浏览/下载：44/0  |  提交时间：2021/03/15 landcover  spatial consistency  improved Dempster-Shafer evidence theory  statistics  multi-source information fusion   Fusion and Correction of Multi-Source Land Cover Products Based on Spatial Detection and Uncertainty Reasoning Methods in Central Asia 期刊论文  OAI收割 REMOTE SENSING, 2021, 卷号: 13, 期号: 2, 页码: 23 作者:  Liu, Keling;  Xu, Erqi   |  收藏  |  浏览/下载：19/0  |  提交时间：2021/03/15 landcover  spatial consistency  improved Dempster-Shafer evidence theory  statistics  multi-source information fusion   Bayesian-based anomaly detection in the industrial processes 会议论文  OAI收割 Berlin, Germany, July 12-17, 2020 作者:  Pan YJ(潘怡君);  Zheng ZY(郑泽宇);  Fu DZ(付殿峥)   |  收藏  |  浏览/下载：26/0  |  提交时间：2021/05/15 Anomaly detection  Bathyscaphe  Bayesian  Change point detection  Dempster-Shafer theory  Leakage detection  TE process