機械学習によるオンライン手書き図形における分類精度の検討

抄録

In this paper, the authors aim to correct strokes for input of handwriting diagrams. In order to achieve this correction, they propose a method which is in real-time using machine learning. In addition, they aim at the precision improvement by using a classification prediction model with regression one concurrently. They also focus on real-time performance and evaluate the computation speed of different machine learning models.