机构

• 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]
• 上海天文台 [1]
• 武汉岩土力学研究所 [1]
• 沈阳自动化研究所 [1]
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采集方式

• OAI收割 [8]

内容类型

• 会议论文 [4]
• 期刊论文 [3]
• 学位论文 [1]

发表日期

• 2020 [2]
• 2016 [1]
• 2014 [1]
• 2012 [1]
• 2008 [1]
• 2007 [2]
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学科主题

筛选

浏览/检索结果: 共8条，第1-8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 Prediction model of rock mass class using classification and regression tree integrated AdaBoost algorithm based on TBM driving data 期刊论文  OAI收割 TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY, 2020, 卷号: 106, 页码: 13 作者:  Liu, Quansheng;  Wang, Xinyu;  Huang, Xing;  Yin, Xin   |  收藏  |  浏览/下载：25/0  |  提交时间：2021/05/25 TBM  Rock mass classification  Integrated algorithm  AdaBoost-CART model  SMOTE   Short-Term Photovoltaic Power Prediction Modeling Based on AdaBoost Algorithm and Elman 会议论文  OAI收割 Virtual, Chengdu, China, December 25-27, 2020 作者:  Sun, Wenxuan;  Zhang T(张涛);  Tao, Ran;  Wang AN(王安娜)   |  收藏  |  浏览/下载：27/0  |  提交时间：2021/03/14 Photovoltaic power prediction  AdaBoost algorithm  Bat algorithm  Elman nerve-network   Power-Aware Classifier Selection in Wireless Sensor Networks 期刊论文  OAI收割 JOURNAL OF INFORMATION SCIENCE AND ENGINEERING, 2016, 卷号: 32, 期号: 2, 页码: 439-454 作者:  Xiao, Kejiang   |  收藏  |  浏览/下载：29/0  |  提交时间：2019/12/13 wireless sensor networks  classification accuracy  classifier selection  power aware classification  AdaBoost algorithm  greedy algorithm  0-1 integer programming   Automatic detection of impact craters on Mars using a modified adaboosting method 期刊论文  OAI收割 PLANETARY AND SPACE SCIENCE, 2014, 卷号: 99, 期号: 1, 页码: 112-117 作者:  Jin, Shuanggen;  Zhang, Tengyu 收藏  |  浏览/下载：25/0  |  提交时间：2015/05/13 Crater detection  Adaboost algorithm  Dual-threshold  Weights updating   On hyperspectral remotely sensed image classification based on MNF and AdaBoosting (EI CONFERENCE) 会议论文  OAI收割 2012 3rd IEEE/IET International Conference on Audio, Language and Image Processing, ICALIP 2012, July 16, 2012 - July 18, 2012, Shanghai, China 作者:  Yu P.;  Yu P.;  Gao X. 收藏  |  浏览/下载：21/0  |  提交时间：2013/03/25 As an effective statistical learning tool  AdaBoosting has been widely used in the field of pattern recognition. In this paper  a new method is proposed to improve the classification performance of hyperspectral images by combining the minimum noise fraction (MNF) and AdaBoosting. Because the hyperspectral imagery has many bands which have strong correlation and high redundancy  the hyperspectral data are pre-processed by the minimum noise fraction to reduce the data's dimensionality  whilst to remove noise bands simultaneously. Then  we use an AdaBoost algorithm to conduct the classification of hyperspectral remotely sensed image. Experimental results show that the classification accuracy is improved and the time of calculation is reduced as well. 2012 IEEE.   MB-LBP特征在视觉目标检测和分类中的应用 学位论文  OAI收割 工学硕士, 中国科学院自动化研究所: 中国科学院研究生院, 2008 张伦 收藏  |  浏览/下载：129/0  |  提交时间：2015/09/02 MB-LBP特征  人脸检测  视频流中物体分类  AdaBoost学习算法  MB-LBP Feature  Face Detection  Object Classification in Video  AdaBoost Algorithm   Pedestrian detection with local feature assistant 会议论文  OAI收割 2007 IEEE International Conference on Control and Automation, ICCA 2007, Guangzhou, China, 30 May-1 June 2007 作者:  Xu, Y.W.;  Cao, X.B.;  Qiao, H. 收藏  |  浏览/下载：17/0  |  提交时间：2017/01/12 Pedestrain detection,Local feature,Adaboost algorithm   Co-evolution based feature selection for pedestrian detection 会议论文  OAI收割 2007 IEEE International Conference on Control and Automation, ICCA 2007, Guangzhou, China, 30 May-1 June 2007 作者:  Guo, Y.P.;  Cao, X.B.;  Xu, Y.W.;  Hong, Q. 收藏  |  浏览/下载：10/0  |  提交时间：2017/01/13 automated highways / object detection / road safety / AdaBoost algorithm / coevolution based feature selection / pedestrian detection system / Automatic control / Automation / Communication system software / Computer science