Learning and discrimination device, and learning and discrimination method

A learning and discrimination device configured to perform learning by gradient boosting, comprising:

• a histogram memory unit configured to store, for each value of a feature amount, a histogram obtained by integrating gradient information corresponding to the value of the feature amount in sample data;
• a category accumulated gradient calculator configured to receive an input of a histogram corresponding to each value of the feature amount among histograms stored in the histogram memory unit, and calculate a histogram corresponding to a value of the feature amount corresponding to a threshold for the feature amount as a cumulative sum of the gradient information for the feature amount;
• a non-category accumulated gradient calculator configured to receive an input of a histogram corresponding to each value of the feature amount among the histograms stored in the histogram memory unit, and calculate, as a cumulative sum of the gradient information for the feature amount, a sum of a histogram corresponding to a value of the feature amount that is classified using a classification method with the threshold for the feature amount, the classification method being different from a classification method by the category accumulated gradient calculator using the threshold;
• and
• a cumulative sum selector configured to output the cumulative sum calculated by the category accumulated gradient calculator or the cumulative sum calculated by the non-category accumulated gradient calculator.