Joint Induction of Shape Features and Tree Classifiers

@article{Amit1997JointIO,
  title={Joint Induction of Shape Features and Tree Classifiers},
  author={Yali Amit and Kenneth Wilder},
  journal={IEEE Trans. Pattern Anal. Mach. Intell.},
  year={1997},
  volume={19},
  pages={1300-1305}
}
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 classi cation 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 a ne and non-linear deformations. They are also… CONTINUE READING
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