Patent ID: 8943005
Filing Date: 2015-01-27
Classification: G06K,G06N

Abstract:
1. A metric learning apparatus comprising: a memory configured to memorize a learning pattern in a feature space and a category which the learning pattern belongs to; a transforming section configured to perform variable transformation of the learning pattern to a metric space by using a predetermined transformation matrix; a transformation matrix calculating section configured to calculate a transformation matrix which presents a minimum loss value of a loss function in which the loss value is increased when there is a learning pattern belonging to a different category but closer than to learning patterns up to k a determining section configured to determine that the metric learning is terminated and outputs the transformation matrix corresponding to the minimum loss value to the outside when the minimum loss value is at least equal to or smaller than a threshold value, and output the transformation matrix corresponding to the minimum loss value to the transforming section in other cases, wherein the transforming section repeats variable transformation of the learning pattern to the metric space using the transformation matrix output from the determining section until the metric learning is terminated, and the transformation matrix transforming section repeats calculation of the transformation matrix which presents a minimum loss value of the loss function using the learning pattern transformed by the transformation matrix output from the determining section until the metric learning is terminated.