中文版 | English

在结果中检索

CASIA OpenIR
（本次检索基于用户作品认领结果）

浏览/检索结果: 共6条，第1-6条 帮助

限定条件            
已选(0)清除 条数/页：   排序方式：
The Concept of "Attractive Region in Environment" and its Application in High-Precision Tasks With Low-Precision Systems 期刊论文
IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2015, 卷号: 20, 期号: 5, 页码: 2311-2327
作者:  Qiao, Hong;  Wang, Min;  Su, Jianhua;  Jia, Shengxin;  Li, Rui
Adobe PDF(3359Kb)  |  收藏  |  浏览/下载：348/82  |  提交时间：2015/10/26
Assembly  Attractive Region In Environment (Arie)  Grasping  Localization  Sensorless Manipulation  
Online Support Vector Machine Based on Convex Hull Vertices Selection 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2013, 卷号: 24, 期号: 4, 页码: 593-609
作者:  Wang, Di;  Qiao, Hong;  Zhang, Bo;  Wang, Min
收藏  |  浏览/下载：160/0  |  提交时间：2015/08/12
Kernel  Machine Learning  Online Classifier  Samples Selection  Support Vector Machine  
Robust mean-shift tracker with local saliency feature and spatial pattern preserved metric 会议论文
Proceedings 2013 International Conference on Mechatronic Sciences, Electric Engineering and Computer (MEC), Shengyang, China, 20-22 Dec. 2013
作者:  Linshan Liu;  Suiwu Zheng;  Hong Qiao;  Min Wang
收藏  |  浏览/下载：98/0  |  提交时间：2017/01/13
None  
一种石油钻机的可视化操纵液压控制系统 专利
专利类型: 发明, 专利号: CN201210560481.2, 申请日期: 2012-12-20, 公开日期: 2013-04-03
发明人:  王敏;  乔红;  戴相富;  苏建华;  郑碎武;  王鹏;  任冬淳
收藏  |  浏览/下载：195/0  |  提交时间：2015/09/22
A New Algorithm for Robust Pedestrian Tracking Based on Manifold Learning and Feature Selection 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2011, 卷号: 12, 期号: 4, 页码: 1195-1208
作者:  Wang, Min;  Qiao, Hong;  Zhang, Bo
收藏  |  浏览/下载：88/0  |  提交时间：2015/08/12
Feature Extraction  Manifold Learning  Tracking  
Improved Shape Context algorithm for online fast recognition-an application in pedestrian detection from a moving vehicle 会议论文
2009 IEEE INTELLIGENT VEHICLES SYMPOSIUM, Xian, PEOPLES R CHINA, JUN 03-05, 2009
作者:  Wang, Min;  Wang, Jian-Qing;  Qiao, Hong;  Cao, Xian-Bin
收藏  |  浏览/下载：116/0  |  提交时间：2017/01/12
Automated Highways / Computational Complexity / Object Detection / Object Recognition / Computational Complexity / Geometrical Distortion / Intelligent Transportation / Object Recognition / Online Fast Recognition / Pedestrian Detection System Online