Design of a Machine Learning Architecture for Hierarchical Vision Systems

@inproceedings{Maloof1999DesignOA,
  title={Design of a Machine Learning Architecture for Hierarchical Vision Systems},
  author={Marcus A. Maloof},
  year={1999}
}
In this report, we describe a machine learning architecture for hierarchical vision systems. These vision systems work by successively grouping visual constructs at one level, selecting the most promising, and passing them up to higher levels of processing. This continues from the pixel-level of the image to the object-model level. Traditionally, researchers have used static heuristics at each level to select the best constructs. In practice, this approach is brittle, because people have not… CONTINUE READING

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