A METHOD FOR UPDATING A 2 DIMENSIONAL LINEAR DISCRIMINANT ANALYSIS (2DLDA) CLASSIFIER ENGINE

摘要

A method for updating a (2) dimensional linear discriminant analysis classifier engine for feature recognition, the method comprising the steps of providing one or more sample images to the classifier engine, the classifier engine comprising a plurality of classes derived from a plurality of training images and a mean matrix of all images, updating the mean matrix of all images based on the sample images, updating a between class scatter matrix based on the sample images: and updating a within-class scatter matrix based on the sample images. Also disclosed is a method for- selecting samples from a pool comprising a plurality of unlabeled samples for active learning, the method comprising the steps of applying a (2) dimensional linear discriminant analysis classifier engine to the unlabeled samples, sorting the unlabeled samples in the pool according to their distances to a respective nearest neighbour, selecting the sample with the furthest nearest neighbour for labeling: and updating the (2) dimensional linear discriminant analysis classifier engine based on the labeled sample.