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SRSC: Selective, Robust, and Supervised Constrained Feature Representation for Image Classification
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 卷号: 31, 期号: 10, 页码: 4290-4302
作者:
Xie, Guo-Sen
;
Zhang, Zheng
;
Liu, Li
;
Zhu, Fan
;
Zhang, Xu-Yao
收藏
  |  
浏览/下载:24/0
  |  
提交时间:2021/01/07
Training
Task analysis
Learning systems
Computational modeling
Optimization
Support vector machines
Principal component analysis
Feature learning
feature selection
least squares
subspace learning
Application of Machine Learning Method to Quantitatively Evaluate the Droplet Size and Deposition Distribution of the UAV Spray Nozzle
期刊论文
APPLIED SCIENCES-BASEL, 2020, 卷号: 10
作者:
Guo, Han
;
Zhou, Jun
;
Liu, Fei
;
He, Yong
;
Huang, He
收藏
  |  
浏览/下载:23/0
  |  
提交时间:2020/11/26
UAV spray nozzle
spray characteristics
machine learning
quantitative modeling
Flue Gas Monitoring System With Empirically-Trained Dictionary
期刊论文
IEEE/CAA Journal of Automatica Sinica, 2020, 卷号: 7, 期号: 2, 页码: 606-616
作者:
Hui Cao
;
Yajie Yu
;
Panpan Zhang
;
Yanxia Wang
收藏
  |  
浏览/下载:31/0
  |  
提交时间:2021/03/11
Dictionary learning
empirically-trained dictionaty (ETD)
flue gas monitoring system
quantitative analysis
Analyzing the Uncertainty of Estimating Forest Aboveground Biomass Using Optical Imagery and Spaceborne LiDAR
期刊论文
REMOTE SENSING, 2019, 卷号: 11, 期号: 6, 页码: 16
作者:
Sun, Xiaofang
;
Li, Guicai
;
Wang, Meng
;
Fan, Zemeng
收藏
  |  
浏览/下载:54/0
  |  
提交时间:2019/09/24
aboveground biomass
prediction model
number of samples
cross-validation
remotely sensed data
Chaos control of fractional order systems based on least square support vector machines and genetic algorithm
会议论文
30th Chinese Control and Decision Conference, CCDC 2018, Shenyang, China, 2018-06-09
作者:
Yan, Xiaomei
;
Shang, Ting
;
Ji, Ruirui
;
Zhao, Xiaoguo
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/12/20
Robust Joint Graph Sparse Coding for Unsupervised Spectral Feature Selection
期刊论文
ieee transactions on neural networks and learning systems, 2017, 卷号: 28, 期号: 6, 页码: 1263-1275
作者:
Zhu, Xiaofeng
;
Li, Xuelong
;
Zhang, Shichao
;
Ju, Chunhua
;
Wu, Xindong
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  |  
浏览/下载:54/0
  |  
提交时间:2017/06/14
Dimensionality reduction
manifold learning
regression
sparse coding
Takagi-Sugeno fuzzy model-based approach considering multiple weather factors for the photovoltaic power short-term forecasting
期刊论文
IET Renewable Power Generation, 2017, 卷号: 11, 期号: 10, 页码: 1281-1287
作者:
Liu, Fang
;
Li, Ranran
;
Li, Yong*
;
Yan, Ruifeng
;
Saha, Tapan
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  |  
浏览/下载:6/0
  |  
提交时间:2019/12/03
photovoltaic power systems
load forecasting
least mean squares methods
recursive estimation
support vector machines
backpropagation
recurrent neural nets
fuzzy reasoning
power engineering computing
Takagi-Sugeno fuzzy model-based approach
multiple-weather factors
photovoltaic power short-term forecasting
PV systems
electricity supply
PV power forecasting
air temperature
humidity
wind speed
wind direction
insolation
T-S fuzzy model
correlation analysis
fuzzy c-mean clustering algorithm
recursive least square method
St Lucia campus
The Queensland University of Australia
support vector machine
SVM
empirical mode decomposition
back propagation neural network
recurrent neural network
power 433 kW
Chaos Prediction of Fast Fading Channel of Multi-rates Digital Modulation Using Support Vector Machines
会议论文
作者:
Ren, Yijing
;
Ren, Ren
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2019/11/26
Communication network
Interpersonal communication
Chaos predictive
Least square
Support vector machines
Fast fading
Sparse least square support vector machines based on random entropy
会议论文
the 36th Chinese Control Conference, Dalian, 2017-07-26
作者:
Ma Wenlu
;
Liu Han
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/12/20
Sparse Least Square Support Vector Machines based on Random Entropy
会议论文
PROCEEDINGS OF THE 36TH CHINESE CONTROL CONFERENCE (CCC 2017), 2017-01-01
作者:
Ma, Wenlu
;
Liu, Han
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2019/12/20
Sparsity LSSVM
Large-scale data
Random Entropy
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