机构

• 地理科学与资源研究所 [2]
• 计算技术研究所 [1]
• 长春光学精密机械与物... [1]
• 自动化研究所 [1]
• 西安光学精密机械研究... [1]

采集方式

• OAI收割 [6]

内容类型

• 期刊论文 [5]
• 会议论文 [1]

发表日期

• 2024 [1]
• 2022 [3]
• 2018 [1]
• 2010 [1]

学科主题

筛选

浏览/检索结果: 共6条，第1-6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 Multiple marine algae identification based on three-dimensional fluorescence spectroscopy and multi-label convolutional neural network 期刊论文  OAI收割 Spectrochimica Acta - Part A: Molecular and Biomolecular Spectroscopy, 2024, 卷号: 311 作者:  Li, Ruizhuo;  Gao, Limin;  Wu, Guojun;  Dong, Jing   |  收藏  |  浏览/下载：30/0  |  提交时间：2024/04/08 Marine algae  Three-dimensional fluorescence spectroscopy  Convolutional neural network  Multi-label classification   Revealing Annual Crop Type Distribution and Spatiotemporal Changes in Northeast China Based on Google Earth Engine 期刊论文  OAI收割 REMOTE SENSING, 2022, 卷号: 14, 期号: 16, 页码: 19 作者:  Liu, Yaqun;  Wang, Jieyong   |  收藏  |  浏览/下载：26/0  |  提交时间：2022/09/26 annual crop classification  remote sensing  multi-dimensional features  recursive feature elimination  random forest  Google Earth Engine  sustainable agriculture development   Revealing Annual Crop Type Distribution and Spatiotemporal Changes in Northeast China Based on Google Earth Engine 期刊论文  OAI收割 REMOTE SENSING, 2022, 卷号: 14, 期号: 16, 页码: 19 作者:  Liu, Yaqun;  Wang, Jieyong   |  收藏  |  浏览/下载：24/0  |  提交时间：2022/09/26 annual crop classification  remote sensing  multi-dimensional features  recursive feature elimination  random forest  Google Earth Engine  sustainable agriculture development   Multi-dimensional Classification via Selective Feature Augmentation 期刊论文  OAI收割 Machine Intelligence Research, 2022, 卷号: 19, 期号: 1, 页码: 38-51 作者:  Bin-Bin Jia;  Min-Ling Zhang   |  收藏  |  浏览/下载：7/0  |  提交时间：2024/04/23 Machine learning  multi-dimensional classification  feature augmentation  feature selection  class dependencies   Optimizing Multi-Dimensional Packet Classification for Multi-Core Systems 期刊论文  OAI收割 JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY, 2018, 卷号: 33, 期号: 5, 页码: 1056-1071 作者:  Shen, Tong;  Zhang, Da-Fang;  Xie, Gao-Gang;  Zhang, Xin-Yi   |  收藏  |  浏览/下载：24/0  |  提交时间：2019/12/10 multi-dimensional  multi-core  packet classification   Research on station mode for attitude determination of multiple targets (EI CONFERENCE) 会议论文  OAI收割 2010 International Conference on Computational and Information Sciences, ICCIS2010, December 17, 2010 - December 19, 2010, Chengdu, Sichuan, China 作者:  Zhao L.;  Wang J.;  Li M. 收藏  |  浏览/下载：38/0  |  提交时间：2013/03/25 A key problem of attitude determination system is how to locate CMOS cameras and deal with relations among them. In this paper  several kinds of multi-CMOS station mode are introduced. Fundamental principles and classification of station mode directly affect on measurement parameters of system. No matter what mode is designed  the ultimate goal is to extend Effective Viewing Field (EVF)  increase capture ratio of objects and increase measurement precision. Station mode introduced in this paper is made of CMOS cameras  because of low cost  high speed frame frequency and low power consumption  CMOS cameras were putted near from object tested. So sequences of image are legible  which are convenient for analysis of three dimensional(3D) attitude. 2010 IEEE.