The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Eigenfaces vs. Fisherfaces: Recognition using class specific linear projection
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Cites
Turk, M., & Pentland, A. (1991) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.1991.3.1.71 · Cited by 13,733
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From machine learning to deep learning: progress in machine intelligence for rational drug discovery
Zhang, L., Tan, J., Han, D., & Zhu, H. (2017) · Drug Discovery Today · doi:10.1016/j.drudis.2017.08.010 · Cited by 760
Discriminant Analysis of Principal Components for Face Recognition
Zhao, W., Krishnaswamy, A., Chellappa, R., Swets, D. L., & Weng, J. (1998) · Face Recognition · doi:10.1007/978-3-642-72201-1_4 · Cited by 696
The quotient image: class-based re-rendering and recognition with varying illuminations
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Automatic facial expression recognition using features of salient facial patches
Happy, S. L., & Routray, A. (2015) · IEEE Transactions on Affective Computing · doi:10.1109/taffc.2014.2386334 · Cited by 599
Describable Visual Attributes for Face Verification and Image Search
Kumar, N., Berg, A., Belhumeur, P. N., & Nayar, S. (2011) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2011.48 · Cited by 434
Self-citationThe role of sensors, big data and machine learning in modern animal farming
Neethirajan, S. (2020) · Sensing and Bio-Sensing Research · doi:10.1016/j.sbsr.2020.100367 · Cited by 375
Optimization problems for machine learning: A survey
Gambella, C., Ghaddar, B., & Naoum-Sawaya, J. (2021) · European Journal of Operational Research · doi:10.1016/j.ejor.2020.08.045 · Cited by 365
Biometric score calibration for forensic face recognition
Ali, T. (2014) · doi:10.3990/1.9789036536899 · Cited by 1
Face Recognition at a Distance
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Metadata
- Authors
- Belhumeur, P. N., Hespanha, J. P., & Kriegman, D. J.
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer Berlin Heidelberg
- Published
- 1996
- Pages
- 43-58
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W2177287823
- Cited by
- 978
- References
- 1
- FWCI
- 5.89
- Type
- conference paper
- Language
- en
- Open access
- closed
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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.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
