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Learning to Recognize Faces From Examples (1991)  (Make Corrections)  (38 citations)
Shimon Edelman, Daniel Reisfeld, Yechezkel Yeshurun
European Conference on Computer Vision



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Abstract: We describe an implemented system that learns to recognize human faces under varying pose and illumination conditions. The system relies on symmetry operations to detect the eyes and the mouth in a face image, uses the locations of these features to normalize the appearance of the face, performs simple but effective dimensionality reduction by a convolution with a set of Gaussian receptive fields, and subjects the vector of activities of the receptive fields to a Radial Basis Function... (Update)

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.... dimensionality reduction implemented by such a two stage system include the improvement of about 20 in the recognition performance (Edelman et al. 1992); this approach should have a similar effect on the performance of the present model. 6 Summary and discussion We have...

...and physical parameter spaces. A number of systems based on a Radial Basis Function (RBF) network have been proposed for this approach [5, 1, 8]. They showed successful learning capability, and made these variations explicit. However, the generalization capabilities of such...

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BibTeX entry:   (Update)

Edelman, S., Reisfeld, D. & Yeshurun, Y. (1992), Learning to recognize faces from examples, in `2nd European Conference on Computer Vision', Genoa, Italy, pp. 787--791. http://citeseer.ist.psu.edu/edelman91learning.html   More

@inproceedings{ edelman92learning,
    author = "Shimon Edelman and Daniel Reisfeld and Yehezkel Yeshurun",
    title = "Learning to Recognize Faces from Examples",
    booktitle = "European Conference on Computer Vision",
    pages = "787-791",
    year = "1992",
    url = "citeseer.ist.psu.edu/edelman91learning.html" }
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286   Recognition by linear combinations of models (context) - Ullman, Basfl - 1990
269   Feature extraction from faces using deformable templates (context) - Yuille - 1989
166   A network that learns to recognize three-dimensional objects (context) - Poggio, Edelman - 1990
149   Regularization algorithms for learning that are equivalent t.. (context) - Poggio, Girosi - 1990
141   An effective heuristic algorithm for the traveling salesman .. (context) - Lin, Kernighan - 1973
116   Kluwer Academic Publishers (context) - Lowe, visual - 1986
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30   Receptive fields of single neurons in the cat's striate cort.. (context) - Hubel, Wiesel - 1959
23   Bringing the Grandmother back into the picture: a memory- ba.. - Edelman, Poggio - 1990
13   Three-dimensional object recog- nition using an unsupervised.. - Intrator, Gold et al. - 1992
11   Identification and rating of caricatures: implications for m.. (context) - Rhodes, Brennan et al. - 1987
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8   HyperBF networks for real object recognition - Brunelli, Poggio - 1991
3   Asymmetries in oriented-line detection indicate two or- thog.. (context) - Foster, Ward - 1991
3   Smart sensing within a Pyramid Vision Machine (context) - Burr - 1988
2   Synthesis of visual modules from examples: learn- ing hypera.. (context) - Poggio, Fahle et al. - 1991
2   Representation and process in face recognition (context) - Valentine - 1991
1   Projection pursuit (context) - nuber - 1985
1   Application of the Karhunen-Loave procedure for characteriza.. (context) - Kirby, Sirovich - 1990
1   Facial feature detection based on symmetry pronciples: a fir.. (context) - Reisfeld, Yeshurun - 1991



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Learning to Grasp Using Visual Information - Ishay Kamon (1994)   (Correct)
Representation, Similarity, and the Chorus of Prototypes - Edelman (1994)   (Correct)
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