The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Face Recognition in Subspaces
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Citations
Cites
Turk, M., & Pentland, A. (1991) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.1991.3.1.71 · Cited by 13,733
Cited by
Local Binary Patterns and Its Application to Facial Image Analysis: A Survey
Huang, D., Shan, C., Ardabilian, M., Wang, Y., & Chen, L. (2011) · IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews) · doi:10.1109/tsmcc.2011.2118750 · Cited by 905
Patch Alignment for Dimensionality Reduction
Zhang, T., Tao, D., Li, X., & Yang, J. (2009) · IEEE Transactions on Knowledge and Data Engineering · doi:10.1109/tkde.2008.212 · Cited by 381
On the Use of SIFT Features for Face Authentication
Bicego, M., Lagorio, A., Grosso, E., & Tistarelli, M. (2006) · 2006 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'06) · doi:10.1109/cvprw.2006.149 · Cited by 371
Metadata
- Authors
- Shakhnarovich, G., & Moghaddam, B.
- Venue
- Handbook of Face Recognition
- Publisher
- Springer London
- Published
- 2011
- Pages
- 19-49
- OpenAlex
- W2121323570
- Cited by
- 201
- References
- 1
- FWCI
- 57.05
- Type
- book chapter
- 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.
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Cite CoChat for the checks on this page, and the paper for its own findings.
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- CoChat. (2026). Citation check: Face Recognition in Subspaces. https://app.cochat.ai/papers/10.1007/978-0-85729-932-1_2
- The paper
- Shakhnarovich, G., & Moghaddam, B. (2011). Face Recognition in Subspaces. Handbook of Face Recognition. https://doi.org/10.1007/978-0-85729-932-1_2
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.
