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For:
Huang P
, Chen C, Tang Z, Yang Z.
Discriminant similarity and variance preserving projection for feature extraction.
Neurocomputing
2014. [DOI:
10.1016/j.neucom.2014.02.047
]
[
Citation(s) in
RCA
: 10
]
[
Impact Index Per Article: 0.9
]
[
Reference Citation Analysis
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[Indexed: 10/25/2022]
Number
Cited by Other Article(s)
1
Zhao G
, Wu Y. Efficient Large Margin-Based Feature Extraction.
Neural Process Lett
2018. [DOI:
10.1007/s11063-018-9920-7
]
[
Citation(s) in
RCA
: 3
]
[
Impact Index Per Article: 0.4
]
[
Reference Citation Analysis
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[Indexed: 11/28/2022]
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2
Huang P
, Li T, Gao G, Yang G. Feature extraction based on graph discriminant embedding and its applications to face recognition.
Soft comput
2018. [DOI:
10.1007/s00500-018-3340-5
]
[
Citation(s) in
RCA
: 9
]
[
Impact Index Per Article: 1.3
]
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Reference Citation Analysis
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[Indexed: 11/28/2022]
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3
Locality-regularized linear regression discriminant analysis for feature extraction.
Inf Sci (N Y)
2018. [DOI:
10.1016/j.ins.2017.11.001
]
[
Citation(s) in
RCA
: 12
]
[
Impact Index Per Article: 1.7
]
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Reference Citation Analysis
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[Indexed: 11/23/2022]
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4
Local descriptor margin projections (LDMP) for face recognition.
INT J MACH LEARN CYB
2017. [DOI:
10.1007/s13042-017-0652-1
]
[
Citation(s) in
RCA
: 2
]
[
Impact Index Per Article: 0.3
]
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[Indexed: 10/19/2022]
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5
Silva ER
, Cavalcanti GD, Ren TI. Class-wise feature extraction technique for multimodal data.
Neurocomputing
2016. [DOI:
10.1016/j.neucom.2016.07.017
]
[
Citation(s) in
RCA
: 1
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[
Impact Index Per Article: 0.1
]
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[Indexed: 12/01/2022]
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6
Huang P
, Gao G. Parameterless reconstructive discriminant analysis for feature extraction.
Neurocomputing
2016. [DOI:
10.1016/j.neucom.2016.01.001
]
[
Citation(s) in
RCA
: 10
]
[
Impact Index Per Article: 1.1
]
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[Indexed: 11/29/2022]
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