Dynamic quantization: two adaptive data structures for multidimensional spaces. 
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.