Method for selecting samples in a dataset to be labelled in a classification task, wherein the dataset comprises n samples belonging to k classes and a method for classifying a dataset

Abstract

A method for selecting samples in a dataset to be labelled in a classification task, wherein the dataset includes N samples belonging to K classes. The method includes: extracting features of the N samples using a feature extractor; statistically inferring a probability distribution of the extracted features in the K classes, to obtain the density of each sample with respect to the K classes distributions; and selecting samples to be labelled using the density.

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