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A Real-Time Road Boundary Detection Approach in Surface Mine Based on Meta Random Forest 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2024, 卷号: 9, 期号: 1, 页码: 1989-2001
作者:  Ai, Yunfeng;  Song, Ruiqi;  Huang, Chongqing;  Cui, Chenglin;  Tian, Bin;  Chen, Long
收藏  |  浏览/下载：3/0  |  提交时间：2024/07/22
Roads  Point cloud compression  Laser radar  Random forests  Metalearning  Surface treatment  Feature extraction  Road boundary detection  Point Cloud  meta learning  random forest  few shot classification  autonomous driving  
A Learning-Embedded Attributed Petri Net to Optimize Student Learning in a Serious Game 期刊论文
IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS, 2021, 页码: 9
作者:  Liang, Jing;  Tang, Ying;  Hare, Ryan;  Wu, Ben;  Wang, Fei-Yue
收藏  |  浏览/下载：234/0  |  提交时间：2022/01/27
Games  Task analysis  Problem-solving  Petri nets  Random forests  Training  Radio frequency  Learning optimization  Petri nets (PNs)  serious game (SG)  
Convolutional Ordinal Regression Forest for Image Ordinal Estimation 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 12
作者:  Zhu, Haiping;  Shan, Hongming;  Zhang, Yuheng;  Che, Lingfu;  Xu, Xiaoyang;  Zhang, Junping;  Shi, Jianbo;  Wang, Fei-Yue
收藏  |  浏览/下载：239/0  |  提交时间：2022/01/27
Decision trees  Estimation  Task analysis  Forestry  Vegetation  Random forests  Support vector machines  Differentiable decision trees  image ordinal estimation  ordinal distribution learning  ordinal regression (OR)  random forest  
Online Multiview Deep Forest for Remote Sensing Image Classification via Data Fusion 期刊论文
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2021, 卷号: 18, 期号: 8, 页码: 1456-1460
作者:  Nie, Xiangli;  Gao, Ruofei;  Wang, Rui;  Xiang, Deliang
收藏  |  浏览/下载：236/0  |  提交时间：2021/11/02
Vegetation  Forestry  Random forests  Feature extraction  Remote sensing  Data models  Training data  Deep forest  online multiview learning  polarimetric synthetic aperture radar (PolSAR)  remote sensing data classification  
Learning from User Feedback for Machine Translation in Real-Time 会议论文
Natural Language Understanding and Intelligent Applications: 5th CCF Conference on Natural Language Processing and Chinese Computing, NLPCC 2016, and 24th International Conference on Computer Processing of Oriental Languages, ICCPOL 2016, Kunming, China, December 2--6, 2016, Proceedings, Kunming, China, 2016-7-30
作者:  Guoping, Huang;  Jiajun, Zhang;  Yu, Zhou;  Chengqing, Zong;  Chengqing Zong
收藏  |  浏览/下载：69/0  |  提交时间：2020/10/27
Machine Translation  Online Learning  Random Forests  
Integrating Semi-supervised and Supervised Learning Methods for Label Fusion in Multi-Atlas Based Image Segmentation 期刊论文
FRONTIERS IN NEUROINFORMATICS, 2018, 卷号: 12, 页码: 11
作者:  Zheng, Qiang;  Wu, Yihong;  Fan, Yong
收藏  |  浏览/下载：273/0  |  提交时间：2019/12/16
multi-atlas  image segmentation  hippocampus  random forests  label propagation  
A terrain-based weighted random forests method for radar quantitative precipitation estimation 期刊论文
METEOROLOGICAL APPLICATIONS, 2017, 卷号: 24, 期号: 3, 页码: 404-414
作者:  Yang, Xuebing;  Kuang, Qiuming;  Zhang, Wensheng;  Zhang, Guoping;  Wensheng Zhang
Adobe PDF(2643Kb)  |  收藏  |  浏览/下载：392/117  |  提交时间：2018/04/03
Radar Qpe  Vpr  Rainfall Estimation  Random Forests  
Robust Target Tracking by Online Random Forests and Superpixels 期刊论文
IEEE Transactions on Circuits and Systems for Video Technology, 2017, 期号: 99, 页码: 1 - 1
作者:  Wang, Wei;  Wang, Chunping;  Liu, Si;  Zhang, Tianzhu;  Cao, Xiaochun
Adobe PDF(7365Kb)  |  收藏  |  浏览/下载：397/139  |  提交时间：2018/02/07
Superpixels  Vision Tracking  Online Random Forests  Joint Discriminative Model  
A Fault Diagnosis Method of Engine Rotor Based on Random Forests 会议论文
2016PHM, 加拿大渥太华, 2016-6-20
作者:  Qi Yao;  Jian Wang;  Lu Yang;  Haixia Su;  Guigang Zhang
浏览  |  Adobe PDF(297Kb)  |  收藏  |  浏览/下载：503/222  |  提交时间：2016/06/29
Fault Diagnosis  Engine Rotor  Random Forests  Svm  
基于图像中文字检测和抽取技术的图像内容理解及其应用 学位论文
, 中国科学院自动化研究所: 中国科学院大学, 2013
作者:  张阳
Adobe PDF(2824Kb)  |  收藏  |  浏览/下载：209/0  |  提交时间：2015/09/02
文字检测  文字定位  文字抽取  边缘检测  随机森林  局部信息  Text Detection  Text Localization  Text Extraction  Corner Detection  Edge Detection  Image Complexity  Robust Reading  Random Forests  Local Information