The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Regularization studies of linear discriminant analysis in small sample size scenarios with application to face recognition
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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
Regularized Common Spatial Pattern With Aggregation for EEG Classification in Small-Sample Setting
Lu, H., Eng, H.-L., Guan, C., Plataniotis, K. N., & Venetsanopoulos, A. N. (2010) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2010.2082540 · Cited by 309
Self-citationLinear discriminant analysis for the small sample size problem: an overview
Sharma, A., & Paliwal, K. K. (2015) · International Journal of Machine Learning and Cybernetics · doi:10.1007/s13042-013-0226-9 · Cited by 279
Metadata
- Authors
- Lu, J., Plataniotis, K. N., & Venetsanopoulos, A. N.
- Venue
- Pattern Recognition Letters
- Publisher
- Elsevier BV
- Published
- 2005-01
- Volume
- 26
- Issue
- 2
- Pages
- 181-191
- ISSN
- 0167-8655 (ISSN-L)
- OpenAlex
- W2143340430
- Cited by
- 305
- References
- 1
- FWCI
- 12.91
- Type
- journal article
- 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.
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- CoChat. (2026). Citation check: Regularization studies of linear discriminant analysis in small sample size scenarios with application to face recognition. https://app.cochat.ai/papers/10.1016/j.patrec.2004.09.014
- The paper
- Lu, J., Plataniotis, K. N., & Venetsanopoulos, A. N. (2005). Regularization studies of linear discriminant analysis in small sample size scenarios with application to face recognition. Pattern Recognition Letters. https://doi.org/10.1016/j.patrec.2004.09.014
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.