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Joint Adaptive Graph Learning and Discriminative Analysis for Unsupervised Feature Selection
Cognitive Computation
◽
10.1007/s12559-021-09875-0
◽
2021
◽
Author(s):
Haifeng Zhao
◽
Qi Li
◽
Zheng Wang
◽
Feiping Nie
Keyword(s):
Feature Selection
◽
Unsupervised Feature Selection
◽
Graph Learning
◽
Discriminative Analysis
Download Full-text
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References
Unsupervised feature selection by joint graph learning
2015 IEEE China Summit and International Conference on Signal and Information Processing (ChinaSIP)
◽
10.1109/chinasip.2015.7230464
◽
2015
◽
Author(s):
Zhihong Zhang
◽
Jianbing Xiahou
◽
Yuanheng Liang
◽
Yuhan Chen
Keyword(s):
Feature Selection
◽
Unsupervised Feature Selection
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Graph Learning
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Unsupervised feature selection with adaptive multiple graph learning
Pattern Recognition
◽
10.1016/j.patcog.2020.107375
◽
2020
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Vol 105
◽
pp. 107375
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Cited By ~ 1
Author(s):
Peng Zhou
◽
Liang Du
◽
Xuejun Li
◽
Yi-Dong Shen
◽
Yuhua Qian
Keyword(s):
Feature Selection
◽
Unsupervised Feature Selection
◽
Graph Learning
◽
Multiple Graph
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Joint Structured Graph Learning and Unsupervised Feature Selection
ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
◽
10.1109/icassp.2019.8682439
◽
2019
◽
Author(s):
Yong Peng
◽
Leijie Zhang
◽
Wanzeng Kong
◽
Feiping Nie
◽
Andrzej Cichocki
Keyword(s):
Feature Selection
◽
Unsupervised Feature Selection
◽
Graph Learning
Download Full-text
Joint dictionary and graph learning for unsupervised feature selection
Applied Intelligence
◽
10.1007/s10489-019-01561-x
◽
2020
◽
Vol 50
(5)
◽
pp. 1379-1397
Author(s):
Deqiong Ding
◽
Fei Xia
◽
Xiaogao Yang
◽
Chang Tang
Keyword(s):
Feature Selection
◽
Unsupervised Feature Selection
◽
Graph Learning
Download Full-text
Adaptive Graph Learning for Unsupervised Feature Selection
Computer Analysis of Images and Patterns - Lecture Notes in Computer Science
◽
10.1007/978-3-319-23192-1_66
◽
2015
◽
pp. 790-800
Author(s):
Zhihong Zhang
◽
Lu Bai
◽
Yuanheng Liang
◽
Edwin R. Hancock
Keyword(s):
Feature Selection
◽
Unsupervised Feature Selection
◽
Graph Learning
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Unsupervised Feature Selection via Adaptive Graph Learning and Constraint
IEEE Transactions on Neural Networks and Learning Systems
◽
10.1109/tnnls.2020.3042330
◽
2020
◽
pp. 1-8
Author(s):
Rui Zhang
◽
Yunxing Zhang
◽
Xuelong Li
Keyword(s):
Feature Selection
◽
Unsupervised Feature Selection
◽
Graph Learning
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Unsupervised feature selection with graph learning via low-rank constraint
Multimedia Tools and Applications
◽
10.1007/s11042-017-5207-7
◽
2017
◽
Vol 77
(22)
◽
pp. 29531-29549
◽
Cited By ~ 2
Author(s):
Guangquan Lu
◽
Bo Li
◽
Weiwei Yang
◽
Jian Yin
Keyword(s):
Feature Selection
◽
Low Rank
◽
Unsupervised Feature Selection
◽
Graph Learning
◽
Rank Constraint
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Multi-view feature selection via Nonnegative Structured Graph Learning
Neurocomputing
◽
10.1016/j.neucom.2020.01.044
◽
2020
◽
Vol 387
◽
pp. 110-122
◽
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Author(s):
Xiangpin Bai
◽
Lei Zhu
◽
Cheng Liang
◽
Jingjing Li
◽
Xiushan Nie
◽
...
Keyword(s):
Feature Selection
◽
Graph Learning
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Block Model Guided Unsupervised Feature Selection
Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining
◽
10.1145/3394486.3403173
◽
2020
◽
Author(s):
Zilong Bai
◽
Hoa Nguyen
◽
Ian Davidson
Keyword(s):
Feature Selection
◽
Block Model
◽
Unsupervised Feature Selection
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Unsupervised Feature Selection With Extended OLSDA via Embedding Nonnegative Manifold Structure
IEEE Transactions on Neural Networks and Learning Systems
◽
10.1109/tnnls.2020.3045053
◽
2021
◽
pp. 1-7
Author(s):
Rui Zhang
◽
Hongyuan Zhang
◽
Xuelong Li
◽
Sheng Yang
Keyword(s):
Feature Selection
◽
Unsupervised Feature Selection
◽
Manifold Structure
Download Full-text
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