A discriminative metric learning algorithm for face recognition

IPSJ Transactions on Computer Vision and Applications

Volumn 5, Issue , 2013, Pages 85-89

  Kato, Tsuyoshi ^a   Takei, Wataru ^a   Omachi, Shinichiro ^b  

^a GUNMA UNIVERSITY   (Japan)

^b TOHOKU UNIVERSITY   (Japan)

Author keywords

Face recognition; Mahalanobis distance; Metric learning; Nearest neighbor classifier; Optimization

Indexed keywords

EIGEN DECOMPOSITION; MAHALANOBIS; MAHALANOBIS DISTANCES; METRIC LEARNING; MULTICLASS CLASSIFICATION PROBLEMS; NEAREST NEIGHBOR CLASSIFIER; REAL-WORLD;

COVARIANCE MATRIX; FACE RECOGNITION; LEARNING SYSTEMS; OPTIMIZATION;

LEARNING ALGORITHMS;

EID: 84881539261     PISSN: None     EISSN: 18826695     Source Type: Journal    
DOI: 10.2197/ipsjtcva.5.85     Document Type: Article

References (7)

1. Belhumeur, P.N., Hespanha, J.a.P. and Kriegman, D.J.: Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection, IEEE Trans. Pattern Anal. Mach. Intell., Vol.19, No.7, pp.711-720 (1997).
2. Davis, J.V., Kulis, B., Jain, P., Sra, S. and Dhillon, I.S.: Information-theoretic metric learning, Proc. 24th International Conference on Machine Learning, ICML '07, pp.209-216, New York, NY, USA, ACM (2007).
3. Globerson, A. and Roweis, S.: Metric Learning by Collapsing Classes, Advances in Neural Information Processing Systems 18, Weiss, Y., Schölkopf, B. and Platt, J. (Eds.), pp.451-458, MIT Press, Cambridge, MA (2006).
4. Hsieh, C.-J., Chang, K.-W., Lin, C.-J., Keerthi, S.S. and Sundararajan, S.: A dual coordinate descent method for large-scale linear SVM, Proc. 25th International Conference on Machine Learning, ICML '08, pp.408-415, New York, NY, USA, ACM (2008).
5. Li, S.Z. and Jain, A.K.: Handbook of Face Recognition, Springer (2011).
6. Torresani, L. and Lee, K.: Large Margin Component Analysis, Advances in Neural Information Processing Systems 19, Schölkopf, B., Platt, J. and Hoffman, T. (Eds.), pp.1385-1392, MIT Press, Cambridge, MA (2007).
7. Weinberger, K.Q. and Saul, L.K.: Distance Metric Learning for Large Margin Nearest Neighbor Classification, J. Mach. Learn. Res., Vol.10, pp.207-244 (2009).