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Description: JAVA 实现虹膜识别（完整），老外的程序，共享一下。-JAVA realize iris recognition (complete), the procedures for foreigners to share about.
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Size: 43008 |
Author: 黄冠 |
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Description: 这是一个开源项目，功能是实现虹膜识别。开发语言Java。捕获的图像,位于虹膜、制作独特的虹膜轮廓 -This is an open source project, function is the realization of iris recognition. Development language Java. Capture images, located in the iris, the production of unique iris contour
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Size: 1357824 |
Author: mysisi |
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Description: Iris主要应用于Ethernet网,这是由Ethernet网的共享特征所决定的。在Ethernet网内，承载数据包的通道为本Ethernet网段的所有计算机所共享，而决定一台计算机是否收取一个数据，在于这个数据包是不是发往这台计算机的。每台计算机的网络适配器，也就是网卡都有自己独特的网卡地址。如果网卡发现一个数据包是发往本网卡地址的，它就会接收它，否则就丢弃它。-Iris is mainly used in Ethernet networks, which is shared by the Ethernet network characteristics determined. In the Ethernet network, the channel carrying packet-based Ethernet network segment shared by all computers, a computer to determine whether to accept a data packet is that it is not sent to this computer. Each computer' s network adapter card is the card has its own unique address. If the card found in a packet is sent to us the address card, it will receive it, otherwise it is discarded.
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Size: 719872 |
Author: 李璞 |
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Description: K-Means.java K-means分群法(组数数据皆不固定，以读入档案， iris.txt)-K-Means.java K-means grouping method (group, none fixed the number of data in order to read the file, iris.txt)
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Size: 6144 |
Author: 林好 |
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Description: WEAK 开发环境简介，介绍了WEKAWeka 试验（Experiment）环境可以让用户创建，运行，修改和分析算法试验，这会比单独的处理
各个算法更加方便。例如，用户可创建一次试验，在一系列数据集上运行多个算法（schemes），然后
2
分析结果以判断是否某个算法比其他算法（在统计意义下）更好。
可以通过Simple CLI 在命令行的方式下运行试验环境。例如，在CLI 上键入以下命令，将通过一
个基本的训练和测试步骤在Iris 数据集上运行OneR 算法。（注意该命令应放在同一行中输入CLI。）-WEAK development environment profile, introduced WEKAWeka test (Experiment) environment can allow users to create, run, modify and analysis algorithms test, which will deal with the various algorithms than the individual more convenient. For example, users can create an experiment in a series of data sets to run multiple algorithms (schemes), and then two results of the analysis to determine whether a particular algorithm than other algorithms (in the statistical sense) better. Simple CLI through the command line way to run test environments. For example, in the CLI, type the following command through a basic training and testing steps in the Iris data set to run on OneR algorithm. (Note that the order should be placed on the same line, enter CLI.)
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Size: 1289216 |
Author: 王春丽 |
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Description: This file is about the iris detection in java
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Size: 1495040 |
Author: prabu |
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Description: nice implementation of ga
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Size: 1024 |
Author: wonsky |
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Description: clustering iris data java
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Size: 1590272 |
Author: aymen |
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Description: Java Source Code for Iris Recognition.
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Size: 156672 |
Author: aymen |
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Description: kmeans 對IRIS 分群 很傳統的題目-kmeans grouping of iris
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Size: 2048 |
Author: 文韜 |
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Description: source code in java for iris extraction
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Size: 6144 |
Author: lalitha |
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Description: 随机梯度下降，在一个UCI数据集上的实现。随即梯度下降是线性回归的一个重要推论。-A gradient descent test in Java, using a UCI dataset
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Size: 30720 |
Author: 黄恺 |
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