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科研机构
西安交通大学 [8]
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期刊论文 [7]
会议论文 [1]
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2019 [2]
2018 [2]
2014 [2]
2013 [1]
2011 [1]
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专题:西安交通大学
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Maximum Correntropy Criterion based Sparse Subspace Learning for Unsupervised Feature Selection
期刊论文
IEEE Transactions on Circuits and Systems for Video Technology, 2019, 卷号: 29, 页码: 404-417
作者:
Zhou, Nan
;
Xu, Yangyang
;
Cheng, Hong
;
Yuan, Zejian
;
Chen, Badong
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2019/11/19
Computational modeling
Convergence
Feature extraction
feature selection
Kernel
machine learning
maximum correntropy criterion
Measurement
Robustness
sparse subspace learning
A new unsupervised feature selection algorithm using similarity-based feature clustering
期刊论文
Computational Intelligence, 2019, 卷号: 35, 页码: 2-22
作者:
Zhu, Xiaoyan
;
Wang, Yu
;
Li, Yingbin
;
Tan, Yonghui
;
Wang, Guangtao
收藏
  |  
浏览/下载:12/0
  |  
提交时间:2019/11/19
clustering
Feature clustering
Feature compression
Feature similarities
High dimensional data
Interesting information
Redundant features
Unsupervised feature selection
Adaptive Unsupervised Feature Selection With Structure Regularization
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018, 卷号: 29, 页码: 944-956
作者:
Luo, Minnan
;
Nie, Feiping
;
Chang, Xiaojun
;
Yang, Yi
;
Hauptmann, Alexander G.
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  |  
浏览/下载:5/0
  |  
提交时间:2019/11/26
Adaptive neighbors
dimension reduction
local linear embedding
unsupervised feature selection
structure regularization
Fast unsupervised feature selection with anchor graph and l(2,1)-norm regularization
期刊论文
MULTIMEDIA TOOLS AND APPLICATIONS, 2018, 卷号: 77, 页码: 22099-22113
作者:
Hu, Haojie
;
Wang, Rong
;
Nie, Feiping
;
Yang, Xiaojun
;
Yu, Weizhong
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2019/11/26
Unsupervised feature selection
l(2,1)-norm
Anchor graph
Unsupervised feature selection algorithm with a multi-objective evolutionary model for fault diagnosis
期刊论文
Zhendong yu Chongji/Journal of Vibration and Shock, 2014, 卷号: 33, 期号: [db:dc_citation_issue], 页码: 61-65+87
作者:
Xia, Hu
;
Zhuang, Jian
;
Zhou, Fan
;
Yu, De-Hong
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2019/12/02
Correlation coefficient
Ensemble methods
Feature selection algorithm
High-dimensional
Multi objective evolutionary algorithms
Multi-objective evolutionary
Mutation operators
Unsupervised feature selection
Multi-objective unsupervised feature selection algorithm utilizing redundancy measure and negative epsilon-dominance for fault diagnosis
期刊论文
NEUROCOMPUTING, 2014, 卷号: 146, 期号: [db:dc_citation_issue], 页码: 113-124
作者:
Xia, Hu
;
Zhuang, Jian
;
Yu, Dehong
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/12/03
Fault recognition
Multi-objective evolutionary algorithm
Redundancy measure
Feature selection
Negative epsilon-dominance
Seeding and Harvest: A Framework for Unsupervised Feature Selection Problems
期刊论文
SENSORS, 2013, 卷号: 13, 期号: [db:dc_citation_issue], 页码: 292-333
作者:
Chen, Gang
;
Cai, Yuanli
;
Shi, Juan
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2019/12/03
noise injection
feature selection
seeding and harvest
A novel feature selection methodology based on outlier detection technologies
会议论文
作者:
Chen, Gang
;
Cai, Yuanli
;
Shi, Juan
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/12/10
Attribute subset evaluators
Computing complexity
Even classification
Feature reduction
Feature selection problem
Real life datasets
State-of-the-art methods
Unsupervised feature reductions
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