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手写体识别中，对于阿拉伯数字的识别。常用的模式分类方法都可以应用。这个小程序使用的方法是模板匹配方法,Handwriting recognition, for identification of Arabic numerals. Commonly used pattern classification methods can be applied. This small way is to use a template matching method
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手写体识别中，对于阿拉伯数字的识别。常用的模式分类方法都可以应用。这个小程序使用的方法是线性判别分析-Handwriting recognition, for identification of Arabic numerals. Commonly used pattern classification methods can be applied. This small program uses the method is linear discriminant analysis
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模式识别手写数字分类程序，对0到9十个数字分类。-Handwriting recognition digital classification procedures, 0-9 to 10 the number of categories.
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手写分类识别，是个很好的程序，希望大家能用上-Handwriting classification and recognition, is a very good program, hope everyone can be on the
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这是一个能成功运行的非常有用的分类程序,只要用于数字的识别,也就是手写识别,和大家分享-This is a successful run of a very useful classification procedures, as long as for digital identification, that is, handwriting recognition, and to share
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As the years of intensive research and development went by, and with the birth of
several new conferences and workshops such as IWFHR (International Workshop
on Frontiers in Handwriting Recognition),1 ICDAR (International Conference on
Document
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采用神经网络对手写字体的基本笔画（横竖撇捺折）进行分类识别-For classification using neural network handwriting strokes (if they had to write flick off)
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支持向量机（SVM）是在统计学习理论的基础上发展起来的新一代学习算法，该算法在文本分类、手写识别、图像分类、生物信息学等领域中获得了较好的应用。本书是SVM的权威参考书。-Support Vector Machine (SVM) is a new learning algorithm developed on the basis of statistical learning theory, the algorithm to obtain a better application in the
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堆栈自编码，通过两个稀疏自编码的堆叠和softmax分类模型，实现手写体的分类。-Stack self-encoding, since encoding by two sparse stack and softmax classification model to classify handwriting.
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亲自试验出来的对于手写体的LDA分类，最后效果是73.13 ，大家想对LDA了解更深的话可以看看！是matlab版的。
-Personally tested out for LDA classification handwriting, the last effect is 73.13 ,we want a deeper understanding of LDA, then you can see! Is matlab version.
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VC++ 手写文字识别程序源码。实现手写数字给出不同的分类器识别结果，可心采用模板匹配分类器（最邻近模板匹配法）识别。手写数字或者打开已有的手写数字图像后，在右视图空白处，单击鼠标左键，激活右视图，选择菜单中的各种分类算法，可以对手写数字进行分类。-VC++ handwriting recognition program source code. Handwritten numbers give different classification recognition result satisf
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基于微信开发的健康档案管理系统，用户可通过微信登陆，并查看自己在应用医院的健康体检信息；该系统自创规则库(处于初步阶段，只写了几种，会慢慢更新)，可根据用户体检数据分析用户大体病症，并进一步通过用户自我诊断，确定用户病症分型。进一步给出治疗保健意见。课堂学习完，练手写的，有很多不足，望各位大牛给点意见。-Health records management system based on the development of WeChat, the user can log in through
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基于三层神经网络的手写字数据库分类。正确率可达96 ，和适合新手入门-Based on three layers neural network classification of handwriting Accuracy can reach 96 , and is suitable for beginners entry
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实施KNN算法，并使用KNN改进约会网站，将KNN运用在手写识别系统。(Implement KNN algorithm, and use KNN to improve dating website, use KNN in handwriting recognition system.)
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