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Abstract: We introduce a very large family of binary features for two-dimensional shapes. The salient ones for separating particular shapes are determined by inductive learning during the construction of classification trees. There is a feature for every possible geometric arrangement of local topographic codes. The arrangements express coarse constraints on relative angles and distances among the code locations and are nearly invariant to substantial affine and non-linear deformations. They are also... (Update)
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BibTeX entry: (Update)
Y. Amit, D. Geman, and K. Wilder. Joint induction of shape features and tree classifiers. IEEE Trans. PAMI, 19:1300--1306, 1997. http://citeseer.ist.psu.edu/geman97joint.html More
@misc{ amit97joint,
author = "Y. Amit and D. Geman and K. Wilder",
title = "Joint induction of shape features and tree classifiers",
text = "Y. Amit, D. Geman, and K. Wilder. Joint induction of shape features and
tree classifiers. IEEE Trans. PAMI, 19:1300--1306, 1997.",
year = "1997",
url = "citeseer.ist.psu.edu/geman97joint.html" }
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