人工智能模式识别中基于支持向量机的分类算法在识别领域属于较新的应用-The SVM-based classification algorithm is a kind of new application in the field of artificial intelligence and pattern recognition.

手写数字识别数据集，MNIST，包括原始数据集的所有样本，以及抽取的2000个样本的子集，.mat格式。美国著名数据集NIST的子集，模式识别常用实验数据集-handwritten digits recognition ,dataset, MNIST from NIST, .mat file,

人脸识别，采用ASM和欧氏距离的方法，训练样本和测试样本来自SCface视频人脸库。ASM的特征点通过手工标记获得，并保存为mat文件。想要训练样本的原始图像，请联系我-Face recognition, using the ASM method and Euclidean distance, the training samples and testing samples from the SCface video database. Characteristics of ASM obtain

很好的一个车牌检测程序,检测率很高，快速卷积神经网络SoftwareMatlab R2016b Matlab R2016b(plate lisence detectionMatlab lesson design for vehicle detection and recognition. Using cifar-10Net to training a RCNN, and finetune AlexNet to classify. Thanks to Cars Dataset : http:/