vf3lib：VF3算法-解决大型图和密集图上子图同构的最快算法

该工程代码更新了实时更新时间显示，以及通过百度AI智能识别人脸，需要的朋友请自取

Deep Learning for NLP and Speech Recognition

利用Matlab根据knn算法实现的人脸识别，压缩包里面包含课设的最终上交的文件、MATLAB代码、参考文献以及实验图片，下载解压用matlab打开可以直接测试使用

最近实验项目用到了车牌识别的数据集，在CSDN上下了格式各样的数据集，发现踩了好多坑。付出许多积分后我将好用的数据打包做了汇总，希望是你们所需要的。 该数据集包含两个文件夹，一是代表训练集的车牌字符集，(分割和标注好的车牌符号（英文+中文）的灰度图片)。 二是，用于作为测试数据的车牌照片（彩色车辆车牌照片）共183张。

Pattern Recognition and Machine Learning 课后习题完整答案！ 与其他的不完全答案是有区别的哈！ 大家可以仔细的看下，这个是1.5M！

letter-recognition 字符识别数据库 CSV格式

letter-recognition字符识别数据库 data格式

Machine rule induction was examined on a difficult categorization problem by applying a Hollandstyle classifier system to a complex letter recognition task. A set of 20,000 unique letter images was generated by randomly distorting pixel images of the 26 uppercase letters from 20 different commercial fonts. The parent fonts represented a full range of character types including script, italic, serif, and Gothic. The features of each of the 20,000 characters were summarized in terms of 16 primitive numerical attributes. Our research focused on machine induction techniques for generating IF-THEN classifiers in which the IF part was a list of values for each of the 16 attributes and the THEN part was the correct category, i.e., one of the 26 letters of the alphabet. We examined the effects of different procedures for encoding attributes, deriving new rules, and apportioning credit among the rules. Binary and Gray-code attribute encodings that required exact matches for rule activation were compared with integer representations that employed fuzzy matching for rule activation. Random and genetic methods for rule creation were compared with instance-based generalization. The strength/specificity method for credit apportionment was compared with a procedure we call "accuracy/utility."

机器学习书籍Pattern Recognition And Machine Learning《模式识别及机器学习》的中英文教程以及完整的英文答案