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本代码是实现支持向量机的源码，用VC++实现，如果不懂请读里面的文件说明-This code is to achieve source Support Vector Machine with VC++ Achieve, if not understand, please read the documentation inside
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C均值进行性别判断分类 图形图象 聚类分析-C to determine the mean for gender classification
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matlab 神经网络算法应用于图片中人物性格识别,通过对神经网络的训练，可以识别图像中是男性还是女性-matlab neural network algorithm is applied to the picture of character recognition, neural network through training, can identify the image is male or female. . .
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a systematic study on gender classification with
automatically detected and aligned faces
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Gender Classification of Facial Images Based on Multiple Facial Regions
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An Experimental Study on Automatic Face Gender Classification
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IMPROVING LBP FEATURES FOR GENDER CLASSIFICATION
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Integrating Independent Components and Linear Discriminant Analysis
for Gender Classification
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Gender Classification based on Facial Surface Normals
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Human face contains a variety of information for adaptive social interactions amongst people. In fact, individuals are able to process a face in a variety of ways to categorize it by its identity, along with a number of other demographic characterist
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matlab实现的模式识别的分类器：fisher 与bayes 分类器，实现男女性别的分类.-matlab implementation of the pattern recognition classifier: fisher and bayes classifier, to achieve gender classification.
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The paper for Gender classification
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The paper for Gender Classification
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Lut-based adaboost for gender classification
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这是用身高体重数据进行性别分类的实验。
用最小错误率贝叶斯分类器决策时，首先通过比较概率大小判断一个体重身高二维向量代表的人是男是女，然后再逐一与已知性别的数据比较，就可以得到错误率的统计。然后改变先验概率，重复上面的过程，观察数据结果的变化。
用最小风险贝叶斯分类器决策时，首先求出用最小错误率贝叶斯分类器得到的条件概率；然后根据人为给定的决策表，根据公式算出条件风险；然后逐一比较条件风险，找出使条件风险最小的决策（也就是分类）。最后用分类得到的结果逐一比较已经知道的原始数据，统计处错误
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gender classification research
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Parzen窗法估计概率密度函数，得出贝叶斯分类器 用Fisher线性判别方法求分类器 留一法估计错误率-Parzen Fisher Bayes Leave-one
based on height and weight
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The zip file contains matlab files for fingerprint based gender classification based on different features extracted from fingerprints.please go through the readme file.
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利用男女身高体重利用贝叶斯算法，最大似然估计，最小风险估计等进行性别分类判决-The use of male and female height and weight using Bayesian algorithm, maximum likelihood estimation, minimum risk estimation for gender classification ruling
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清华模式识别张学工，第一次作业，基于身高体重数据进行性别分类-Pattern recognition, based on height and weight data for gender classification
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