PATTERN RECOGNITION DEVICE, PATTERN LEARNING DEVICE, PATTERN LEARNING METHOD, AND PATTERN LEARNING PROGRAM

摘要

PROBLEM TO BE SOLVED: To improve pattern recognition precision by making an evaluation function reach a minimization solution regardless of the form of a loss term and performing simultaneous rationalization of feature selection and feature conversion.SOLUTION: A pattern learning device includes: an initial value input section for inputting the initial value of the parameter of a discrimination function used for pattern recognition; a loss calculation section for calculating a loss term corresponding to a recognition error in an evaluation function for evaluating the discrimination function based on an input vector for learning; a regularization calculation section for calculating a regularization term in the evaluation function; a parameter update section for updating the parameter of the discrimination function such that the total sum of the loss term and the regularization term reduces; and a parameter output section for outputting the updated parameter of the discrimination function by the parameter update section. The regularization calculation section calculates a regularization term defined by ratio of norm using the feature conversion matrix of the discrimination function.SELECTED DRAWING: Figure 1