METHOD FOR SELECTING SPECIFIC MODEL OF CLASS OF OBJECT FROM SET OF LOW DIMENSIONAL MODEL IN THIS CLASS

摘要

PROBLEM TO BE SOLVED: To select a specific low-dimensional model from a set of low-dimensional models of a class of objects derived from high-dimensional sampled data.;SOLUTION: A model of a class of objects is selected from a set of low-dimensional models of the class, wherein the models are graphs, each graph including a plurality of vertices representing objects in the class and edges connecting the vertices. First distances between a subset of high-dimensional samples of the objects in the class are measured. The first distances are combined with the set of low-dimensional models of the class to produce a subset of models constrained by the first distances and a particular model having vertices that are maximally dispersed is selected from the subset of models.;COPYRIGHT: (C)2007,JPO&INPIT