机构

• 地理科学与资源研究所 [3]
• 自动化研究所 [3]
• 计算技术研究所 [1]
• 长春光学精密机械与物... [1]
• 中国科学院大学 [1]
• 沈阳自动化研究所 [1]
• 更多

采集方式

• OAI收割 [10]
• iSwitch采集 [1]

内容类型

• 期刊论文 [7]
• SCI/SSCI论文 [2]
• 会议论文 [2]

发表日期

• 2025 [1]
• 2022 [1]
• 2021 [2]
• 2020 [1]
• 2018 [1]
• 2017 [1]
• 更多

学科主题

筛选

浏览/检索结果: 共11条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择作者升序作者降序发表日期升序发表日期降序题名升序题名降序提交时间升序提交时间降序 GreenNet: A dual-encoder network for urban green space classification using high-resolution remotely sensed images 期刊论文  OAI收割 INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2025, 卷号: 142, 页码: 104709 作者:  Chen, Ke;  Wang, Yang;  Huang, Cunrui;  Wang, Jing;  Li, Sabrina L.   |  收藏  |  浏览/下载：1/0  |  提交时间：2025/08/21 Green space classification  High-resolution satellite images  Dual-encoder structure  Transformer  Boundary loss   Enhance prototypical networks with hybrid attention and confusing loss function for few-shot relation classification 期刊论文  OAI收割 NEUROCOMPUTING, 2022, 卷号: 493 作者:  Li, Yibing;  Ma, Zuchang;  Gao, Lisheng;  Wu, Yichen;  Xie, Fei   |  收藏  |  浏览/下载：53/0  |  提交时间：2022/12/23 Relation classification  Few-shot learning  Hybrid attention  Loss  BERT   Sample-based online learning for bi-regular hinge loss 期刊论文  OAI收割 INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS, 2021, 页码: 16 作者:  Xue, Wei;  Zhong, Ping;  Zhang, Wensheng;  Yu, Gaohang;  Chen, Yebin   |  收藏  |  浏览/下载：47/0  |  提交时间：2021/03/08 SVM  Max-margin classification  Hinge loss  Elastic net  Online learning   Fault Classification for On-board Equipment of High-speed Railway Based on Attention Capsule Network 期刊论文  OAI收割 International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 5, 页码: 814-825 作者:  Lu-Jie Zhou   |  收藏  |  浏览/下载：42/0  |  提交时间：2021/09/13 On-board equipment  fault classification  capsule network  attention mechanism  focal loss   CR-Net: A Deep Classification-Regression Network for Multimodal Apparent Personality Analysis 期刊论文  OAI收割 INTERNATIONAL JOURNAL OF COMPUTER VISION, 2020, 页码: 18 作者:  Li, Yunan;  Wan, Jun;  Miao, Qiguang;  Escalera, Sergio;  Fang, Huijuan   |  收藏  |  浏览/下载：68/0  |  提交时间：2020/06/02 Personality traits  Multimodal data  Convolutional neural networks  Classification-regression network  Bell Loss function   Implicit Negative Sub-Categorization and Sink Diversion for Object Detection 期刊论文  OAI收割 IEEE TRANSACTIONS ON IMAGE PROCESSING, 2018, 卷号: 27, 期号: 4, 页码: 1561-1574 作者:  Li, Yu;  Tang, Sheng;  Lin, Min;  Zhang, Yongdong;  Li, Jintao   |  收藏  |  浏览/下载：56/0  |  提交时间：2019/12/10 Object detection  convolutional neural network  faster R-CNN  classification loss  context information   Research on Optimization Method of Deep Neural Network 会议论文  OAI收割 LIDAR IMAGING DETECTION AND TARGET RECOGNITION 2017, Changchun, China, July 23-25, 2017 作者:  Zhao HC(赵怀慈);  Liu PF(刘鹏飞);  Cao FD(曹飞道)   |  收藏  |  浏览/下载：61/0  |  提交时间：2017/12/21 Deep neural network  object classification  over-fitting  loss function   Ramp loss least squares support vector machine 期刊论文  iSwitch采集 Journal of computational science, 2016, 卷号: 14, 页码: 61-68 作者:  Liu, Dalian;  Shi, Yong;  Tian, Yingjie;  Huang, Xiankai 收藏  |  浏览/下载：65/0  |  提交时间：2019/05/09 Least squares support vector machine  Sparse  Ramp loss  Cccp  Classification   Pedotransfer Functions for Estimating Soil Bulk Density: A Case Study in the Three-River Headwater Region of Qinghai Province, China SCI/SSCI论文  OAI收割 2016 作者:  Yi X. S.   |  收藏  |  浏览/下载：41/0  |  提交时间：2017/11/09 alpine soil  artificial neural network  multiple linear regression  organic carbon  soil depth  soil texture  artificial neural-network  water-retention curves  organic-matter  content  hydraulic conductivity  forest soils  ignition loss  carbon  classification  prediction  taxonomy   Pedotransfer Functions for Estimating Soil Bulk Density: A Case Study in the Three-River Headwater Region of Qinghai Province, China SCI/SSCI论文  OAI收割 2016 作者:  Yi X. S.;  Li, G. S.;  Yin, Y. Y. 收藏  |  浏览/下载：37/0  |  提交时间：2016/12/16 alpine soil  artificial neural network  multiple linear regression  organic carbon  soil depth  soil texture  artificial neural-network  water-retention curves  organic-matter  content  hydraulic conductivity  forest soils  ignition loss  carbon  classification  prediction  taxonomy