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Face Recognition Using Mixture-Distance and Raw Images  (Make Corrections)  
Steve Lawrence, Peter Yianilos and Ingemar Cox, 1997 IEEE International...
1997 IEEE International Conference on Systems, Man, and Cybernetics



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Abstract: Earlier work suggests that mixture-distance can improve the performance of feature-based face recognition systems in which only a single training example is available for each individual. In this work we investigate the non-feature-based Eigenfaces technique of Turk and Pentland, replacing Euclidean distance with mixture-distance. In mixture-distance, a novel distance function is constructed based on local second-order statistics as estimated by modeling the training data with a mixture of... (Update)

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BibTeX entry:   (Update)

@inproceedings{ lawrence97face,
    author = "Steve Lawrence and P. Yianilos and I. Cox",
    title = "Face Recognition Using Mixture-Distance and Raw Images",
    booktitle = "1997 {IEEE} International Conference on Systems, Man, and Cybernetics",
    publisher = "IEEE Press",
    address = "Piscataway, NJ",
    pages = "2016--2021",
    year = "1997",
    url = "citeseer.ist.psu.edu/346929.html" }
Citations (may not include all citations):
338   View-based and modular eigenspaces for face recognition - Pentland, Moghaddam et al. - 1994
150   Probabilistic visual learning for object detection - Moghaddam, Pentland - 1995
98   maximum likelihood and the EM algorithm (context) - Redner, Walker - 1984
78   of Cognitive Neuroscience (context) - Turk, Pentland et al. - 1991
74   Face recognition using view-based and modular eigenspaces - Moghaddam, Pentland - 1994
26   Experiments with Eigenfaces (context) - Pentland, Starner et al. - 1993
22   Feature-based face recognition using mixture-distance - Cox, Ghosn et al. - 1996
11   Metric learning via normal mixtures - Yianilos - 1995
5   Eigenfaces code (context) - Starner - 1997

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