Cited by 21Face and Expression RecognitionEmotion and Mood RecognitionFace recognition and analysis

Facial expression recognition using dual dictionary learning

Moeini, Ali, Faez, Karim, Moeini, Hossein, Safai, Armon Matthew·2017·Journal of Visual Communication and Image Representation

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Crossref · 10.1016/j.jvcir.2017.02.007

Cites

3 of 3 references verified0 citation errors · 0 not checkable

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  • On the CK database, the highest score achieved is 99.75%, obtained by the method presented in [68].

    “(c) CK database: It is apparent from Table 4 that the highest score achieved on CK database is 99.75% obtained by the method presented in [68]”

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Authors
Moeini, A., Faez, K., Moeini, H., & Safai, A. M.
Affiliations
  • Amirkabir University of Technology (IR)
  • Semnan University (IR)
  • University of California San Diego (US)
Corresponding author
Moeini, Ali
Venue
Journal of Visual Communication and Image Representation
Publisher
Elsevier BV
Published
2017-05
Volume
45
Pages
20-33
ISSN
1047-3203 (ISSN-L)
OpenAlex
W2589045166
Cited by
21
References
3
Citations by year
2026: 1 · 2025: 1 · 2024: 1 · 2022: 1 · 2021: 1 · 2020: 4 · 2019: 5 · 2018: 4 · 2017: 3
FWCI
1.82
Type
journal article
Language
en
Open access
closed
Locations
Journal of Visual Communication and Image Representation (publishedVersion)
Topics
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Face and Expression Recognition
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Emotion and Mood Recognition
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Face recognition and analysis
Keywords
facial expression recognition, sparse representation classification, regression-based classification, feature extraction, CK+ database, JAFFE database

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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

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