Issue No. 03 - March (1984 vol. 6)
Joseph O'Rourke , Department of Electrical Engineering and Computer Science, The Johns Hopkins University, Baltimore, MD 21218.
Kenneth R. Sloan , Architecture Machine Group, Massachusetts Institute of Technology, Cambridge, MA 02139.
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.
J. O'Rourke and K. R. Sloan, "Dynamic Quantization: Two Adaptive Data Structures for Multidimensional Spaces," in IEEE Transactions on Pattern Analysis & Machine Intelligence, vol. 6, no. , pp. 266-280, 1984.