The DOI matches its Crossref record; 33 of the 33 references it cites were found in a registry or an index.
Recognizing faces with PCA and ICA
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Citations
Cites
Learning the parts of objects by non-negative matrix factorization
Lee, D. D., & Seung, H. S. (1999) · Nature · doi:10.1038/44565 · Cited by 13,868
Turk, M., & Pentland, A. (1991) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.1991.3.1.71 · Cited by 13,733
Eigenfaces vs. Fisherfaces: recognition using class specific linear projection
Belhumeur, P. N., Hespanha, J. P., & Kriegman, D. J. (1997) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.598228 · Cited by 11,707
An Information-Maximization Approach to Blind Separation and Blind Deconvolution
Bell, A. J., & Sejnowski, T. J. (1995) · Neural Computation · doi:10.1162/neco.1995.7.6.1129 · Cited by 8,986
Independent Component Analysis
(2004) · Independent Component Analysis · doi:10.7551/mitpress/3717.003.0014 · Cited by 7,903
The FERET evaluation methodology for face-recognition algorithms
Phillips, P. J., Moon, H., Rizvi, S. A., & Rauss, P. J. (2000) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.879790 · Cited by 3,692
Martinez, A. M., & Kak, A. C. (2001) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.908974 · Cited by 3,249
Application of the Karhunen-Loeve procedure for the characterization of human faces
Kirby, M., & Sirovich, L. (1990) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.41390 · Cited by 2,448
Low-dimensional procedure for the characterization of human faces
Sirovich, L., & Kirby, M. (1987) · Journal of the Optical Society of America A · doi:10.1364/josaa.4.000519 · Cited by 2,311
The “independent components” of natural scenes are edge filters
Bell, A. J., & Sejnowski, T. J. (1997) · Vision Research · doi:10.1016/s0042-6989(97)00121-1 · Cited by 2,201
Cited by
A Survey of Face Recognition Techniques
Jafri, R., & Arabnia, H. R. (2009) · Journal of Information Processing Systems · doi:10.3745/jips.2009.5.2.041 · Cited by 677
Yoruk, E., Konukoglu, E., Sankur, B., & Darbon, J. (2006) · IEEE Transactions on Image Processing · doi:10.1109/tip.2006.873439 · Cited by 305
Independent comparative study of PCA, ICA, and LDA on the FERET data set
Delac, K., Grgic, M., & Grgic, S. (2005) · International Journal of Imaging Systems and Technology · doi:10.1002/ima.20059 · Cited by 287
Facial-recognition algorithms: A literature review
Kaur, P., Krishan, K., Sharma, S. K., & Kanchan, T. (2020) · Medicine, Science and the Law · doi:10.1177/0025802419893168 · Cited by 139
Rajendra Kurup, A., Ajith, M., & Martínez Ramón, M. (2019) · Neurocomputing · doi:10.1016/j.neucom.2019.08.029 · Cited by 49
Metadata
- Authors
- Draper, B. A., Baek, K., Bartlett, M. S., & Beveridge, J. R.
- Venue
- Computer Vision and Image Understanding
- Publisher
- Elsevier BV
- Published
- 2003-07
- Volume
- 91
- Issue
- 1-2
- Pages
- 115-137
- ISSN
- 1077-3142 (ISSN-L)
- OpenAlex
- W2130972944
- Cited by
- 549
- References
- 33
- FWCI
- 33.87
- Type
- journal article
- Language
- en
- Open access
- closed
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- Draper, B. A., Baek, K., Bartlett, M. S., & Beveridge, J. R. (2003). Recognizing faces with PCA and ICA. Computer Vision and Image Understanding. https://doi.org/10.1016/s1077-3142(03)00077-8
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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.
