The DOI matches its Crossref record; 20 of the 20 references it cites were found in a registry or an index.
Support vector machines for face recognition
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Citations
Cites
Cortes, C., & Vapnik, V. (1995) · Machine Learning · doi:10.1007/bf00994018 · Cited by 59,421
Neural Networks: A Comprehensive Foundation
Haykin, S. (1998) · Cited by 30,070
Wu, Y. (1999) · Technometrics · doi:10.1080/00401706.1999.10485951 · Cited by 27,221
Turk, M., & Pentland, A. (1991) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.1991.3.1.71 · Cited by 13,733
Introduction to Statistical Pattern Recognition
(1990) · Elsevier eBooks · doi:10.1016/c2009-0-27872-x · Cited by 11,031
Face recognition: a convolutional neural-network approach
Lawrence, S., Giles, C. L., Tsoi, A. C., & Back, A. D. (1997) · IEEE Transactions on Neural Networks · doi:10.1109/72.554195 · Cited by 3,092
Parameterisation of a stochastic model for human face identification
Samaria, F. S., & Harter, A. C. (2002) · Proceedings of 1994 IEEE Workshop on Applications of Computer Vision · doi:10.1109/acv.1994.341300 · Cited by 2,593
Human and machine recognition of faces: a survey
Chellappa, R., Wilson, C. L., & Sirohey, S. (1995) · Proceedings of the IEEE · doi:10.1109/5.381842 · Cited by 2,494
Training support vector machines: an application to face detection
Osuna, E., Freund, R., & Girosit, F. (2002) · Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.1997.609310 · Cited by 2,486
Face recognition: features versus templates
Brunelli, R., & Poggio, T. (1993) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.254061 · Cited by 2,436
Cited by
Support Vector Machines Used to Estimate the Battery State of Charge
Álvarez Antón, J. C., García Nieto, P. J., Blanco Viejo, C., & Vilán Vilán, J. A. (2013) · IEEE Transactions on Power Electronics · doi:10.1109/tpel.2013.2243918 · Cited by 512
Multiclass Support Vector Machines
Abe, S. (2010) · Advances in Pattern Recognition · doi:10.1007/978-1-84996-098-4_3 · Cited by 512
Total variation models for variable lighting face recognition
Chen, T., Yin, W., Zhou, X. S., Comaniciu, D., & Huang, T. S. (2006) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2006.195 · Cited by 437
Chauchard, F., Cogdill, R., Roussel, S., Roger, J. M., & Bellon-Maurel, V. (2004) · Chemometrics and Intelligent Laboratory Systems · doi:10.1016/j.chemolab.2004.01.003 · Cited by 375
Applications of Support Vector Machines for Pattern Recognition: A Survey
Byun, H., & Lee, S.-W. (2002) · Lecture Notes in Computer Science · doi:10.1007/3-540-45665-1_17 · Cited by 345
Metadata
- Authors
- Guo, G., Li, S. Z., & Chan, K. L.
- Venue
- Image and Vision Computing
- Publisher
- Elsevier BV
- Published
- 2001-08
- Volume
- 19
- Issue
- 9-10
- Pages
- 631-638
- ISSN
- 0262-8856 (ISSN-L)
- OpenAlex
- W1986702797
- Cited by
- 338
- References
- 20
- FWCI
- 12.71
- Type
- journal article
- Language
- en
- Open access
- closed
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- Guo, G., Li, S. Z., & Chan, K. L. (2001). Support vector machines for face recognition. Image and Vision Computing. https://doi.org/10.1016/s0262-8856(01)00046-4
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.