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Citation(s) in
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For:
Wu T
, Zhou Y, Zhang R, Xiao Y, Nie F.
Self-weighted discriminative feature selection via adaptive redundancy minimization.
Neurocomputing
2018. [DOI:
10.1016/j.neucom.2017.11.054
]
[
Citation(s) in
RCA
: 4
]
[
Impact Index Per Article: 0.7
]
[
Reference Citation Analysis
]
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[Indexed: 10/18/2022]
Number
Cited by Other Article(s)
1
Jahani MS
, Aghamollaei G, Eftekhari M, Saberi-Movahed F. Unsupervised feature selection guided by orthogonal representation of feature space.
Neurocomputing
2023. [DOI:
10.1016/j.neucom.2022.10.030
]
[
Citation(s) in
RCA
: 0
]
[
Impact Index Per Article: 0
]
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[Indexed: 11/12/2022]
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2
Feature selection via minimizing global redundancy for imbalanced data.
APPL INTELL
2021. [DOI:
10.1007/s10489-021-02855-9
]
[
Citation(s) in
RCA
: 0
]
[
Impact Index Per Article: 0
]
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[Indexed: 10/19/2022]
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3
Shang R
, Xu K, Shang F, Jiao L. Sparse and low-redundant subspace learning-based dual-graph regularized robust feature selection.
Knowl Based Syst
2020. [DOI:
10.1016/j.knosys.2019.07.001
]
[
Citation(s) in
RCA
: 30
]
[
Impact Index Per Article: 7.5
]
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[Indexed: 11/25/2022]
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4
Discriminant Analysis with Graph Learning for Hyperspectral Image Classification.
REMOTE SENSING
2018. [DOI:
10.3390/rs10060836
]
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Citation(s) in
RCA
: 25
]
[
Impact Index Per Article: 4.2
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[Indexed: 11/16/2022]
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