机构

• 遥感与数字地球研究所 [3]
• 长春光学精密机械与物... [2]
• 自动化研究所 [2]
• 青藏高原研究所 [1]
• 计算技术研究所 [1]
• 数学与系统科学研究院 [1]
• 更多

采集方式

• OAI收割 [11]

内容类型

• 会议论文 [5]
• 期刊论文 [5]
• 学位论文 [1]

发表日期

• 2018 [1]
• 2016 [1]
• 2012 [1]
• 2010 [3]
• 2009 [1]
• 2007 [1]
• 更多

学科主题

• 地理学::自然地理学 [1]

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 Joint Household Characteristic Prediction via Smart Meter Data 期刊论文  OAI收割 IEEE Transactions on Smart Grid, 2018, 页码: 1-11 作者:  Cong Y(丛杨);  Fan HJ(范慧杰);  Xu XW(徐晓伟);  Yu HB(于海斌);  Sun G(孙干)   |  收藏  |  浏览/下载：59/0  |  提交时间：2017/12/21 Household Characteristics  Multi-task Learning  Classification Problem  Gaussian Process  Smart Meter Data   Semisupervised Multilabel Learning With Joint Dimensionality Reduction 期刊论文  OAI收割 IEEE SIGNAL PROCESSING LETTERS, 2016, 卷号: 23, 期号: 6, 页码: 795-799 作者:  Yu, Tingzhao;  Zhang, Wensheng;  Tingzhao Yu   |  收藏  |  浏览/下载：26/0  |  提交时间：2016/06/30 Alternating Method  Dimensionality Reduction  Dual Problem  Multilabel Classification  Semisupervised Learning   An improved hyperspectral classification algorithm based on back-propagation neural networks (EI CONFERENCE) 会议论文  OAI收割 2012 2nd International Conference on Remote Sensing, Environment and Transportation Engineering, RSETE 2012, June 1, 2012 - June 3, 2012, Nanjing, China 作者:  Yu P.;  Yu P. 收藏  |  浏览/下载：32/0  |  提交时间：2013/03/25 In this paper  a new method is proposed to improve the classification performance of hyperspectral images by combining the principal component analysis (PCA)  genetic algorithm (GA)  and artificial neural networks (ANNs). First  some characteristics of the hyperspectral remotely sensed data  such as high correlation  high redundancy  etc.  are investigated. Based on the above analysis  we propose to use the principal component analysis to capture the main information existing in the hyperspectral images and reduce its dimensionality consequently. Next  we use neural networks to classify the reduced hyperspectral data. Since the back-propagation neural network we used is easy to suffer from the local minimum problem  we adopt a genetic algorithm to optimize the BP network's weights and the threshold. Experimental results show that the classification accuracy is improved and the time of calculation is reduced as well. 2012 IEEE.   Fast and convergence-guaranteed algorithm for linear separation 期刊论文  OAI收割 SCIENCE CHINA-INFORMATION SCIENCES, 2010, 卷号: 53, 期号: 4, 页码: 729-737 作者:  Liu ZhiYong;  Zhang, David;  Li YuGang   |  收藏  |  浏览/下载：16/0  |  提交时间：2019/12/16 linear separation problem  classification  convergence  efficiency  complexity   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.   An Unsupervised Classification Method of Remote Sensing Images Based on Ant Colony Optimization Algorithm 会议论文  OAI收割 Advanced Data Mining and Applications, Adma 2010, Pt I Wang, Duo; Cheng, Bo 收藏  |  浏览/下载：17/0  |  提交时间：2014/12/07 unsupervised classification  pheromone  data discretization  ant colony  optimization algorithm  QUADRATIC ASSIGNMENT PROBLEM   Handling uncertainties in image mining for remote sensing studies 期刊论文  OAI收割 INTERNATIONAL JOURNAL OF REMOTE SENSING, 2009, 卷号: 30, 期号: 20, 页码: 5365-5382 作者:  Ye QH(叶庆华) 收藏  |  浏览/下载：22/0  |  提交时间：2010/07/06 AREAL UNIT PROBLEM  GLACIER VARIATIONS  CLASSIFICATION  TECHNOLOGIES  BOUNDARIES  REGION  SCALE  PIXEL  VIEW   Application of Ant Colony Optimization (ACO) algorithm to remote sensing image classification 会议论文  OAI收割 MIPPR 2007: Pattern Recognition and Computer Vision, Wuhan, China, November 15, 2007 - November 17,2007 Qin, Dai; Jianbo, Liu 收藏  |  浏览/下载：23/0  |  提交时间：2014/12/07 Image classification  Algorithms  Data mining  Optimization  Problem solving  Remote sensing   Utility of neural net classification for remote sensing data based on an improved image fusion algorithm 会议论文  OAI收割 Geoinformatics 2006: GNSS and Integrated Geospatial Applications, Wuhan, China, October 28, 2006 - October 29,2006 Cai, Bofengl; Yu, Rong; Zhang, Zengxiang Source 收藏  |  浏览/下载：23/0  |  提交时间：2014/12/07 Classification (of information)  Algorithms  Error analysis  Image processing  Neural networks  Optimization  Problem solving  Remote sensing   One-class问题研究及应用 学位论文  OAI收割 工学博士, 中国科学院自动化研究所: 中国科学院研究生院, 2004 作者:  齐红威 收藏  |  浏览/下载：89/0  |  提交时间：2015/09/02 one-class问题  非监督学习  半监督学习  信息描述  分类  统计学习算法  股票市场  说话人识别  Web/Text Mining  One-class problem  Un-supervised learning  Semi-supervised learning  Information Description  Classification  Statistical L