一个基于 MATLAB 开发的完整手写数字识别系统，采用经典的 HOG（方向梯度直方图）特征提取 和 SVM（支持向量机）分类算法。该系统实现了从图像预处理到实时识别的完整机器学习流程，在标准测试集上达到 95%以上 的识别准确率。 系统对不同数字的识别准确率 ...

Abstract: This research study uses the MNIST dataset to investigate how Convolutional Neural Networks (CNN) might be used to recognize handwritten numbers. From collecting data to evaluating models, ...

Abstract: Deep learning, with large-scale annotated datasets, has demonstrated remarkable success in synthetic aperture radar automatic target recognition (SAR-ATR). However, the collecting of SAR ...