REDUCED FEATURE GENERATION FOR SIGNAL CLASSIFICATION BASED ON A POSITION WEIGHT MATRIX

摘要

A method for classifying input data includes receiving (1000) the input data (104) that describe an object (101), wherein the input data (104) corresponds to plural classes; associating (1002) the input data (104) with voxels (106) that describe the object (101); calculating (1004) a real-number sequence X(n), which is associated with a measured parameter P that describes the object (101); quantizing (1006) the real-number sequence X(n) to generate a finite set sequence Q(n), where n describes a number of levels; generating (1008) a voxel-based weight matrix for each class of the input data; and calculating (1010) a score S for each class of the plural classes, based on a corresponding voxel-based weight matrix. The score S is a number that indicates a likelihood that the input data associated with a given sample belongs to a class of the plural classes.