Patent ID: 8024282
Filing Date: 2011-09-20
Classification: G06K,G16C

Abstract:
1. A system for classification of a test object, comprising: a machine-readable storage device storing a training set comprising a plurality of objects, each of the objects being assigned as a member of a class, collectively the objects in the training set comprising members of at least two classes; and a computer system coupled to the machine-readable storage device configured as a probabilistic classifier, the probabilistic classifier estimating the probability of the test object as being a member of each of the classes in the training set, wherein the probabilistic classifier estimates the probabilities with reference to the class assignments of objects in the training set which are neighbors to the test object within a defined region within the training set; and wherein the training set comprises objects being members of two classes, class where 2 F 1 (1, k 2 +1; k 1 +k 2 +3; 1−N1/N2) is a calculation of the hypergeometric function 2 F 1 and where k 1 represents the number of neighbors of class 1 within the defined region and k 2 represents the number of neighbors in class 2 within the defined region.