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Description: 模式分类。包括:训练样本设计、模板匹配分类器、Bayes分类器、线性函数分类法、非线性分类法、神经网络分类法-Pattern classification. Include: training sample design, template matching classifier, Bayes classifier, a linear function of classification, non-linear classification, neural network classification
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Size: 517120 |
Author: yutao |
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Description: 在具有模式的完整统计知识条件下，按照贝叶斯决策理论进行设计的一种最优分类器。分类器是对每一个输入模式赋予一个类别名称的软件或硬件装置，而贝叶斯分类器是各种分类器中分类错误概率最小或者在预先给定代价的情况下平均风险最小的分类器。-In a model under the condition of complete statistical knowledge, in accordance with the Bayesian decision theory to design an optimal classifier. Classifier is the input mode of each name given to a category of software or hardware devices, and Bayesian classifier is the classifier in the smallest classification error probability or the cost of pre-given circumstances smallest average risk classifier.
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Size: 3072 |
Author: 御风疾书 |
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Description: adaboost是语音识别分类器设计的最好方法，目前在识别分类方面进行了应用-AdaBoost is a voice recognition classifier design the best way, the current classification in identifying aspects of the application
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Size: 109568 |
Author: 朱利 |
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Description: 一个比较简单的模式识别问题。用female.txt 和male.txt 的数据作为训练样本集，建立Bayes 分类器，用测试样本数据set1.txt、set2.txt、set3.txt 对该分类器进行测试,分别应用单个特征及两个特征进行实验-A relatively simple pattern recognition problem. Female.txt and male.txt use data as a training sample set, the establishment of Bayes classifier, using the test sample data set1.txt, set2.txt, set3.txt to test the classifier, respectively, the application of individual characteristics and two characteristics experiment
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Size: 3072 |
Author: 晏珏 |
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Description: bayes classifier using naive bayes method
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Size: 135168 |
Author: 代龙 |
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Description: 一个简单的贝叶斯分类器，有实验步骤和实验数据。-A simple Bayesian classifier, there are experimental steps and the experimental data.
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Size: 37888 |
Author: cxf |
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Description: 朴素贝叶斯分类器（Naive Bayes Classifier），可以分类任意属性个数和目标状态的离散样例。-Naive Bayesian classifier (Naive Bayes Classifier), can be categorized arbitrary number of attributes and objectives of the state of the discrete sample.
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Size: 608256 |
Author: 王军 |
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Description: Adaboost算法的基本思想是:利用大量的分类能力一般的弱分类器(weaker
ifier)通过一定的方法叠加(boost)起来，构成一个分类能力很强的强分类器
眼eClassifier)，再将若干个强分类器串联成为分级分类器(ClassifierCaseade)
图像搜索检测。本文就是利用Adaboost算法将由类haar特征生成的弱分类器
成为强分类器，再将强分类器串联成为分级分类器。
-Adaboost algorithm basic idea is: the ability to use the general classification of a large number of weak classifier (weakerifier) through a certain method of superposition (boost), and constitute a strong Category strong classifier eyes eClassifier), then a number of strong Category connected in series to become hierarchical classifier (ClassifierCaseade) image search detection. Adaboost algorithm is to use this article will be generated characteristics category haar weak classifier become strong classifier, and then become a strong tandem Classifier Classifier classification.
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Size: 8192 |
Author: wangxuyang |
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Description: 简单分类器 可用于基于神经网络的字母识别，适合初学者使用。
-Simple classifier based on neural network can be used to identify the letters, suitable for beginners to use.
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Size: 53248 |
Author: 李敏 |
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Description: 最大熵分类器，实现对文本的分类，很好的机器学习算法。-Maximum Entropy classifier, the realization of the text classification, a good machine learning algorithm.
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Size: 1267712 |
Author: candy |
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Description: 人脸识别中2DLDA算法的matlab程序，使用最近邻分类器进行识别。-Face Recognition 2DLDA algorithm matlab procedures, the use of nearest neighbor classifier to identify.
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Size: 1024 |
Author: niushaobo |
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Description: 人脸识别中2DPCA算法的matlab程序，使用最近邻分类器进行识别。-Face Recognition 2DPCA algorithm matlab procedures, the use of nearest neighbor classifier to identify.
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Size: 1024 |
Author: niushaobo |
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Description: 人脸识别中PCA算法的matlab程序，使用最近邻分类器进行识别。-PCA Face Recognition Algorithm matlab procedures, the use of nearest neighbor classifier to identify.
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Size: 1024 |
Author: niushaobo |
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Description: 该程序包实现了几个常用的模式识别分类器算法，包括K近邻分类器KNN、线性判别方程LDF分类器、二次判别方程QDF分类器、RDA规则判别分析分类器、MQDF改进二次判别方程分类器、SVM支持向量机分类器。 主程序中还有接口调用举例，压缩包中还有两个测试数据集文件。-The package to achieve a number of commonly used pattern recognition classifier algorithms, including K neighbor classifier KNN, linear discriminant equation LDF classifier, quadratic discriminant equation QDF classifier, RDA rules of discriminant analysis classifier, MQDF improve the quadratic discriminant equation classifier, SVM Support Vector Machine classifier. Also call the main program interface, for example, compressed package there are two test data sets document.
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Size: 100352 |
Author: tangxiaojun |
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Description: 文本分类器 文本分类算法 详细介绍了算法过程-Text Classifier Algorithm for text classification algorithm described in detail the process of
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Size: 5120 |
Author: zw |
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Description: 利用级联的Haar分类器寻找检测目标，这是OPENCV上的程序，与大家分享-Using the Haar classifier cascade find Detected goals, OPENCV This is on the procedures to share with you
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Size: 178176 |
Author: 田贵友 |
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Description: 使用matlab对基于最小错误率的Bayes分类器进行仿真，编写了相应的程序，分为协方差相等和不相等两种情况，最后画出了三类的分界线-Using matlab to the smallest error rate based on the Bayes classifier to carry out simulation, the preparation of the corresponding procedures, divided into equal covariance and unequal both cases, the final draw of the three types of line
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Size: 1024 |
Author: liz |
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Description: 从因子分析的角度出发解决基因表达谱分析问题。为解决独立成分分析方法在求解过程中的不稳定性，提出一种基于选择性独立成分分析的DNA微阵列数据集成分类器。首先对基因表达水平的重构误差进行分析，选择部分重构误差较小的独立成分进行样本重构，然后基于重构后的样本同时训练多个支持向量机基分类器，最后选择部分分类正确率较高的基分类器进行最大投票以得到最终结果。在3个常用测试集上验证了本文设计方法的有效性。-This paper tries to deal with gene expression problem in view of factor analysis. In order to overcome the instability problem caused by performing independent component analysis, a DNA microarray data ensemble classifier based on selective independent component analysis is proposed. The reconstruction error of each gene is analyzed firstly and a part of independent components which contribute relatively small reconstruction errors are selected to reconstruct new samples. After that, several support vector machine base classifiers are trained simultaneously. Finally, the best base classifiers with high correct rates are selected to participate in the ensemble, using the majority voting method. Results on three publicly available microarray datasets show the feasibility and validity of the method proposed in this paper.
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Size: 1427456 |
Author: cumtgyy |
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Description: 贝叶斯分类实验，设计简单的线性分类器，了解模式识别的基本方法。掌握利用贝叶斯公式进行设计分类器的方法。-Bayesian classification experiment is designed to be simple linear classifier, know the basic methods of pattern recognition. Master the use of Bayesian classifier design formula method.
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Size: 1024 |
Author: 屠志海 |
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Description: matlab编写的SVM分类器源代码，效果不错，是很好的东西哦！-matlab prepared SVM classifier source code, well, things are good Oh!
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Size: 136192 |
Author: liuminhua |
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