The DOI matches its Crossref record; 26 of the 26 references it cites were found in a registry or an index.
Multilinear Analysis of Image Ensembles: TensorFaces
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Cites
Proceedings of IEEE Conference on Computer Vision and Pattern Recognition
(1993) · Proceedings of IEEE Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.1993.341010 · Cited by 14,265
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
Some Mathematical Notes on Three-Mode Factor Analysis
Tucker, L. R. (1966) · Psychometrika · doi:10.1007/bf02289464 · Cited by 3,492
Matrix Differential Calculus with Applications in Statistics and Econometrics.
Magnus, J. R., & Neudecker, H. (1988) · Biometrics · doi:10.2307/2531754 · Cited by 2,699
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
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
Visual learning and recognition of 3-d objects from appearance
Murase, H., & Nayar, S. K. (1995) · International Journal of Computer Vision · doi:10.1007/bf01421486 · Cited by 1,881
Mixtures of Probabilistic Principal Component Analyzers
Tipping, M. E., & Bishop, C. M. (1999) · Neural Computation · doi:10.1162/089976699300016728 · Cited by 1,873
View-based and modular eigenspaces for face recognition
Pentland, Moghaddam, & Starner (1994) · Proceedings of IEEE Conference on Computer Vision and Pattern Recognition CVPR-94 · doi:10.1109/cvpr.1994.323814 · Cited by 1,800
Cited by
SCAPE: shape completion and animation of people
Anguelov, D., Srinivasan, P., Koller, D., Thrun, S., Rodgers, J., & Davis, J. (2005) · ACM Transactions on Graphics · doi:10.1145/1073204.1073207 · Cited by 1,489
Age Synthesis and Estimation via Faces: A Survey
Fu, Y., Guo, G., & Huang, T. S. (2010) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2010.36 · Cited by 569
A tutorial on task-parameterized movement learning and retrieval
Calinon, S. (2016) · Intelligent Service Robotics · doi:10.1007/s11370-015-0187-9 · Cited by 422
A Cloud-Edge Computing Framework for Cyber-Physical-Social Services
Wang, X., Yang, L. T., Xie, X., Jin, J., & Deen, M. J. (2017) · IEEE Communications Magazine · doi:10.1109/mcom.2017.1700360 · Cited by 292
Incremental tensor analysis: Theory and applications
Sun, J., Tao, D., Papadimitriou, S., Yu, P. S., & Faloutsos, C. (2008) · ACM Transactions on Knowledge Discovery from Data · doi:10.1145/1409620.1409621 · Cited by 254
Metadata
- Authors
- Vasilescu, M. A. O., & Terzopoulos, D.
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer Berlin Heidelberg
- Published
- 2002
- Pages
- 447-460
- ISSN
- 0302-9743 (ISSN-L)
- OpenAlex
- W2113055885
- Cited by
- 836
- References
- 26
- FWCI
- 8.31
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Vasilescu, M. A. O., & Terzopoulos, D. (2002). Multilinear Analysis of Image Ensembles: TensorFaces. Lecture Notes in Computer Science. https://doi.org/10.1007/3-540-47969-4_30
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.