title: Dynamic quantization: two adaptive data structures for multidimensional spaces.
abstract: Two new data structures are defined for use in multidimensional histogramming. Their purpose is to cover a parameter space with a limited number of histogram bins so that fine precision is maintained where it is needed. The original motivation for these data structures was to implement Hough-like transforms in high-dimensional parameter spaces. The two data structures share the ability to adapt to distributions that change with time.
authors.affiliation: Department of Electrical Engineering and Computer Science, The Johns Hopkins University, Baltimore, MD 21218.
authors.forename: J
authors.initials: J
authors.lastname: O'Rourke
authors.forename: K R
authors.initials: KR
authors.lastname: Sloan