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A Two-layer Encoding Learning Swarm Optimizer based on Frequent Itemsets for Sparse Large-scale Multi-objective Optimization
期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 6, 页码: 1342-1357
作者:
Sheng Qi
;
Rui Wang
;
Tao Zhang
;
Xu Yang
;
Ruiqing Sun
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浏览/下载:0/0
  |  
提交时间:2024/05/22
Evolutionary algorithms
learning swarm optimization
sparse large-scale optimization
sparse large-scale multi-objective problems
two-layer encoding
Consistent Matrix: A Feature Selection Framework for Large-Scale Datasets
期刊论文
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2023, 卷号: 31, 期号: 11, 页码: 4024-4038
作者:
Yang, Tian
;
Li, Yuan-Jiang
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浏览/下载:5/0
  |  
提交时间:2024/02/22
Consistent matrix
feature selection
fuzzy arithmetic covering
fuzzy rough sets
granular computing
A Length-Adaptive Non-Dominated Sorting Genetic Algorithm for Bi-Objective High-Dimensional Feature Selection
期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 9, 页码: 1834-1844
作者:
Yanlu Gong
;
Junhai Zhou
;
Quanwang Wu
;
MengChu Zhou
;
Junhao Wen
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  |  
浏览/下载:11/0
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提交时间:2023/08/10
Bi-objective optimization
feature selection (FS)
genetic algorithm
high-dimensional data
length-adaptive
Surface Remeshing: A Systematic Literature Review of Methods and Research Directions
期刊论文
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS, 2022, 卷号: 28, 期号: 3, 页码: 1680-1713
作者:
Khan, Dawar
;
Plopski, Alexander
;
Fujimoto, Yuichiro
;
Kanbara, Masayuki
;
Jabeen, Gul
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浏览/下载:53/0
  |  
提交时间:2022/03/17
Systematics
Data mining
Quality assessment
Libraries
Search problems
Three-dimensional displays
Solid modeling
Mesh generation
surface remeshing
meshing quality
finite element method
systematic literature review
Cross-Batch Hard Example Mining With Pseudo Large Batch for ID vs. Spot Face Recognition
期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2022, 卷号: 31, 页码: 3224-3235
作者:
Tan, Zichang
;
Liu, Ajian
;
Wan, Jun
;
Liu, Hao
;
Lei, Zhen
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  |  
浏览/下载:17/0
  |  
提交时间:2022/07/25
Face recognition
Training
Measurement
Graphics processing units
Deep learning
Logic gates
Feature extraction
Face recognition
ID vs spot
deep learning
cross-batch hard example mining
pseudo large batch
Unsupervised Balanced Hash Codes Learning With Multichannel Feature Fusion
期刊论文
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2022, 卷号: 15, 页码: 2816-2825
作者:
Chen, Yaxiong
;
Zhao, Dongjie
;
Lu, Xiongbo
;
Xiong, Shengwu
;
Wang, Huangting
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浏览/下载:20/0
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提交时间:2022/05/07
Feature extraction
Codes
Data mining
Convolution
Linear programming
Approximation algorithms
Semantics
Deep hash codes
multichannel feature fusion
multiscale context information
unsupervised hashing learning
Depth Selection for Deep ReLU Nets in Feature Extraction and Generalization
期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2022, 卷号: 44, 期号: 4, 页码: 1853-1868
作者:
Han Z(韩志)
;
Yu SQ(余思泉)
;
Lin SB(林绍波)
;
Zhou DX(周定軒)
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  |  
浏览/下载:25/0
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提交时间:2022/03/23
Feature extraction
Data mining
Deep learning
Task analysis
Optimization
Machine learning algorithms
Deep nets
feature extractions
generalization
learning theory
Multi-step metal prices forecasting based on a data preprocessing method and an optimized extreme learning machine by marine predators algorithm
期刊论文
RESOURCES POLICY, 2021, 卷号: 74, 页码: 10
作者:
Du, Pei
;
Guo, Ju'e
;
Sun, Shaolong
;
Wang, Shouyang
;
Wu, Jing
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  |  
浏览/下载:14/0
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提交时间:2022/04/02
Metal prices forecasting
Data processing method
Optimized extreme learning machine
Hybrid forecasting model
Time Series Segmentation Clustering: A New Method for S-Phase Picking in Microseismic Data
期刊论文
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2021, 页码: 5
作者:
Zhu, Xinhao
;
Chen, Bingrui
;
Wang, Xu
;
Li, Tao
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  |  
浏览/下载:24/0
  |  
提交时间:2022/02/17
Data mining
Clustering algorithms
Monitoring
Time series analysis
Linear programming
Rocks
Partitioning algorithms
K-means algorithm
microseismic monitoring
phase arrival picking
S-wave
Investigation on the data augmentation using machine learning algorithms in structural health monitoring information
期刊论文
STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL, 2021, 卷号: 20, 期号: 4, 页码: 2054-2068
作者:
Tan, Xuyan
;
Sun, Xuanxuan
;
Chen, Weizhong
;
Du, Bowen
;
Ye, Junchen
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  |  
浏览/下载:23/0
  |  
提交时间:2021/08/11
Machine learning
data mining
supervised learning
structural health monitoring
data augmentation
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