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CAS IR Grid
机构
自动化研究所 [10]
金属研究所 [1]
地质与地球物理研究所 [1]
长春光学精密机械与物... [1]
数学与系统科学研究院 [1]
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OAI收割 [14]
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期刊论文 [8]
学位论文 [5]
会议论文 [1]
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2022 [1]
2021 [1]
2014 [1]
2012 [2]
2011 [3]
2010 [3]
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A new PM2.5 concentration forecasting system based on AdaBoost-ensemble system with deep learning approach
期刊论文
OAI收割
JOURNAL OF FORECASTING, 2022, 页码: 22
作者:
Li, Zhongfei
;
Gan, Kai
;
Sun, Shaolong
;
Wang, Shouyang
  |  
收藏
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浏览/下载:21/0
  |  
提交时间:2023/02/07
AdaBoost-ensemble
deep learning
hybrid data preprocessing-analysis strategy
LSTM
Drilling formation perception by supervised learning: Model evaluation and parameter analysis
期刊论文
OAI收割
JOURNAL OF NATURAL GAS SCIENCE AND ENGINEERING, 2021, 卷号: 90, 页码: 12
作者:
Ye, Zhihui
;
Guo, Siyao
;
Chen, Dong
;
Wang, Han
;
Li, Shouding
  |  
收藏
  |  
浏览/下载:35/0
  |  
提交时间:2021/10/19
Lithology identification
Machine learning
Well logging data
Adaboost
Optimal parameter combination
Online Adaboost-Based Parameterized Methods for Dynamic Distributed Network Intrusion Detection
期刊论文
OAI收割
IEEE TRANSACTIONS ON CYBERNETICS, 2014, 卷号: 44, 期号: 1, 页码: 66-82
作者:
Hu, Weiming
;
Gao, Jun
;
Wang, Yanguo
;
Wu, Ou
;
Maybank, Stephen
收藏
  |  
浏览/下载:38/0
  |  
提交时间:2015/08/12
Dynamic distributed detection
network intrusions
online Adaboost learning
parameterized model
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:23/0
  |  
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.
Ladle Furnace Liquid Steel Temperature Prediction Model Based on Optimally Pruned Bagging
期刊论文
OAI收割
JOURNAL OF IRON AND STEEL RESEARCH INTERNATIONAL, 2012, 卷号: 19, 期号: 12, 页码: 21-28
作者:
Lue Wu
;
Mao Zhizhong
;
Yuan Ping
  |  
收藏
  |  
浏览/下载:16/0
  |  
提交时间:2021/02/02
ENSEMBLES
NETWORKS
Bagging
extreme learning machine
LF liquid steel temperature prediction model
AdaBoost
Boosted multi-class semi-supervised learning for human action recognition
期刊论文
OAI收割
PATTERN RECOGNITION, 2011, 卷号: 44, 期号: 10-11, 页码: 2334-2342
作者:
Zhang, Tianzhu
;
Liu, Si
;
Xu, Changsheng
;
Lu, Hanqing
收藏
  |  
浏览/下载:29/0
  |  
提交时间:2015/08/12
Semi-supervised learning
Action recognition
adaBoost.MH
co-EM
Boosted Exemplar Learning for Action Recognition and Annotation
期刊论文
OAI收割
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2011, 卷号: 21, 期号: 7, 页码: 853-866
作者:
Zhang, Tianzhu
;
Liu, Jing
;
Liu, Si
;
Xu, Changsheng
;
Lu, Hanqing
收藏
  |  
浏览/下载:34/0
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提交时间:2015/08/12
Action annotation
action recognition
AdaBoost
mi-SVM
multiple instance learning (MIL)
视频中行为分析关键技术研究
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, 2011
作者:
张天柱
收藏
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浏览/下载:141/0
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提交时间:2015/09/02
行为识别
多视角学习
半监督学习
图模型
AdaBoost
Co-EM
Co-Training
action recognition
multi-view learning
semi-supervised learning
graph model
AdaBoost
Co-EM
Co-Training
Topology modeling for Adaboost-cascade based object detection
期刊论文
OAI收割
PATTERN RECOGNITION LETTERS, 2010, 卷号: 31, 期号: 9, 页码: 912-919
作者:
He, Zhaofeng
;
Tan, Tieniu
;
Sun, Zhenan
收藏
  |  
浏览/下载:59/0
  |  
提交时间:2015/08/12
Object detection
Haar-like features
Adaboost-cascade learning
AUC optimization
Iris detection
Iris biometrics
互联网毒品类信息过滤研究
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, 2010
贺主
收藏
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浏览/下载:29/0
  |  
提交时间:2015/09/02
互联网有害信息过滤
文本识别
机器学习
有监督学习
半监督学习
Adaboost
支持向量机
一类支持向量机
Webpage filtering
Text classification
Machine Learning
Supervised Learning
Semi-supervised Learning
Adaboost
SVM
One-Class SVM