Patent ID: 6980926
Filing Date: 2005-12-27
Classification: G06K

Abstract:
1. A two-stage method for characterizing a spatial arrangement among data points for each of a plurality of three-dimensional time series distributions comprising a sparse number of said data points, said method comprising the steps of: creating a first virtual volume containing a first three-dimensional time series distribution of said data points to be characterized; subdividing said first virtual volume into a plurality k of three-dimensional volumes, each of said plurality k of three-dimensional volumes having the same shape and size; providing a first stage characterization of said spatial arrangement of said first three-dimensional time series distribution of said data points comprising the steps of: providing a second stage characterization of said first three-dimensional time series distribution of said data points comprising the steps of: comparing said first stage characterization of said first three-dimensional time series distribution of said data points with said second stage characterization of said first three-dimensional time series distribution of said data points to determine presence of randomness in said first three-dimensional time series distribution.