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7类别的 Adaline 神经网络的模式识别程序, 可自行变换或者定义要分类的目标和向量的长度-7 types of Adaline neural network pattern recognition procedures, the definition of self-transformation or to the classification of the object and the length of vector
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贝叶斯分类器，利用后验概率，对已知属性对象进行分类-Bayesian classifier, the use of posterior probability of the known properties of the object classification
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支持向量机，用于图像分类分割，目标检测识别,人工智能信息处理-support vector machine has been widely used in classification and object identification.
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In pattern recognition, the k-nearest neighbor algorithm (k-NN) is a method for classifying objects based on closest training examples in the feature space. k-NN is a type of instance-based learning, or lazy learning where the function is only approx
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贝叶斯分类器的分类原理是通过某对象的先验概率，本文详细介绍贝叶斯分类器，使用贝叶斯分类器对样本进行训练分类，得到良好分类结果，并对分类结果进行分析。-Principle of Bayesian classifiers is through prior probability of an object, the paper describes Bayesian classifier, Bayesian classifier using the training sample classificat
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K-means算法是最为经典的基于划分的聚类方法，是十大经典数据挖掘算法之一。K-means算法的基本思想是：以空间中k个点为中心进行聚类，对最靠近他们的对象归类。通过迭代的方法，逐次更新各聚类中心的值，直至得到最好的聚类结果。-K-means algorithm is based on the division of the classic clustering method, is ten classic one of data mining algorithm. K-means the
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功能说明：输入一幅图像，能对此图像检测关键点，这些点通常对应图像中的重要对象，可用于对象识别，也可用来作为特征进行图像分类。运行其中的例程Ldx_GoSalScale.m，就可以知道此程序的用法（调试环境matlab7.0）。-Function: input image, this image can detect critical points, these points usually correspond to an important object of the image can be
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为实现合成孔径雷达（SAR）图像分类算法的测试与评估，将VC/Matlab 混合编程技术应用到SAR 图像分类平台开发中，分析与
比较了4 种VC/Matlab 混合编程方法及各自优缺点，并着重研究了基于组件对象模型（COM）的VC/Matlab 混合编程方法。使用Matlab
COM 编译器创建了SAR 图像分类算法组件，在VC 中调用其导出的接口函数。在此基础上，完成了SAR 图像分类平台的实例开发且
可脱离Matlab 环境运行。实验结果表明，该方法较好地发挥了VC 与Matl
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可以对给定的对象数据特征进行分类，里面的程序可以很好的运行，希望共同讨论运用
。-Characteristics of a given object data classification, which the program can run, I hope to discuss the use
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In pattern recognition, the k-nearest neighbor algorithm (k-NN) is a method for classifying objects based on closest training examples in the feature space. k-NN is a type of instance-based learning, or lazy learning where the function is only approx
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Image Texture Classification Using Combined Grey Level Co-Occurrence Probabilities and Support Vector Machines
Texture refers to properties that represent the surface or structure of an object and is defined as something consisting of mutuall
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SVM（support vector machine) 在object classification中的应用. 含java程序和data。-one application of SVM in object classification.
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王兴刚和白翔合作发表的CVPR2011的文章， Feature Context for Object Detection and Image Classification，可以用于物体检测和图像的分类，用到了特征上下文，Feature Context-PROCEEDINGS and white Xiang cooperation the published CVPR2011 article Feature Context for Object Detection and Image Classi
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对数据处理，将对象进行分类，并画出聚类图，设置图中线条颜色，直观地分出对象间的关系-Data processing, object classification, and draw dendrogram, set the graph line color to visually separate the relationship between objects
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LinearClassifier,线性分类器进行分类，通过制作一个基于特征的线性组合的价值分类决策。对象的特征也被称为特征值，通常是一个向量提出的机器称为一个特征向量。-LinearClassifier, linear classifier for classification, through the production of a feature-based value of a linear combination of classification decisions. Characte
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code matlab about extraction a feuatres object
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k均值聚类 算法接受参数 k ;然后将事先输入的n个数据对象划分为 k个聚类以便使得所获得的聚类满足:同一聚类中的对象相似度较高;而不同聚类中的对象相似度较小。聚类相似度是利用各聚类中对象的均值所获得一个"中心对象"(引力中心)来进行计算的。(kmeans cluster K means clustering algorithm accepts parameters K; N data object classification and the previously inpu
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All Object Classification file(To classify the objects present in an image)
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实现物体分类，在神经计算棒下实现物体的分类，运用雨交通智能车载，实现障碍物的判断(Realization of object classification)
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Constitutional Neural Network Program for Prediction Model as Object Classification
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