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[Graph Recognizeface_classify_adaboost_cascade

Description: adaboost 弱分类器构成强分类器算法,并作图,分析样本数对性能的影响-constitute a weak classifier AdaBoost strong classifier algorithm, and mapping, analysis of sample size on the performance of
Platform: | Size: 9216 | Author: 毛楠 | Hits:

[AI-NN-PRClassifier4J-0.6-dist

Description: Classifier4J是一个很好的基于java的分类器,里面有Native bayes和KNN等方法的文本分类.另外还 提供了分词和自动摘要等功能-Classifier4J is a very good java-based classifier, which has Native bayes and KNN methods, such as text classification. It also provides a summary of word segmentation and automatic functions
Platform: | Size: 726016 | Author: 李力 | Hits:

[AI-NN-PRKNN

Description: KNN最近邻分类器和预测器,数据挖掘课程上的作业-KNN nearest neighbor classifier and prediction, data mining courses on the operation
Platform: | Size: 199680 | Author: liusong | Hits:

[matlabPerceptronAlgorithm

Description: 感知器是神经网络里面的一个重要分类器,本例子采用matlab实现单个神经元感知器,分类效果较好~-Perceptron neural network which is an important classifier, using the example of the realization of a single neuron matlab perceptron, classification better ~
Platform: | Size: 2048 | Author: junrren | Hits:

[matlaball

Description: 模式识别分类器的设计,此为K均值法源码,经调试通过。所用数据为标准IRIS。-Pattern recognition classifier design, the source for the K-means, after debugging through. Data used as the standard IRIS.
Platform: | Size: 1024 | Author: leestar | Hits:

[matlabNaiveBayes

Description: 这是一个matlab 开发的naive Bayes 分类器算法。可以供大家共享,修改和批评指正。这个是修改的别人的。如果有务,联系: l_y_f_2005@163.com-This is a matlab developed algorithm naive Bayes classifier. Be available for everyone to share, modify, and criticism. This is a modification of someone else
Platform: | Size: 1024 | Author: 122456 | Hits:

[matlabclassifier

Description: 这一个应用小程序,它提供了六种度量方式进行分类,在模式识别中可以非常方便地选择某一度量方式进行为类.-This is an application of small procedures, it provides a way to classify the six metrics, in pattern recognition can be very convenient to choose a measurement method for the category.
Platform: | Size: 311296 | Author: liuhua | Hits:

[CSharpClassification.NET

Description: 机器学习各种分类器代码,C#。 包括AdaBoost,DecisionStump,NearestNeighbout,SVM等,包括测试数据的生成-A variety of machine learning classifier code, C#. Including AdaBoost, DecisionStump, NearestNeighbout, SVM, including the generation of test data
Platform: | Size: 10894336 | Author: dyzhao | Hits:

[Windows Developbelief_NN

Description: A neural network classifier based on Dempster-Shafer theory
Platform: | Size: 5120 | Author: nusrf | Hits:

[Special EffectsinvariantMomentShapeDetection

Description: 根据:基于不变矩特征和神经网络的图像模式模糊分类 论文 在matlab上做的实验,有7个不变矩生成和神经网络分类的代码,还要论文原文-According to: Based on the characteristics of moment invariants and neural network image mode fuzzy classification papers in matlab to do the experiment, there are seven moment invariants and neural network classifier to generate the code, but also the original papers
Platform: | Size: 146432 | Author: wanxl_xjtu | Hits:

[Graph RecognizeAdaboost

Description: 人脸识别论文:《采用Adaboost算法进行面部表情识别》《动态权值预划分实值Adaboost人脸检测算法》《改进的AdaBoost分类器在视频中的体育场景检测》-Face recognition thesis: the use of Adaboost algorithm to identify facial expressions, dynamic weight pre-classified real Adaboost face detection algorithm, Improved AdaBoost classifier of sports in the video scene detection
Platform: | Size: 520192 | Author: 王云 | Hits:

[AI-NN-PRlibsvm

Description: A SVM classifier, with detail documents.
Platform: | Size: 267264 | Author: Jeff | Hits:

[AI-NN-PRNaiveBayes

Description: 贝叶斯算法是基于贝叶斯定理 P(H|X) = P(X|H)P(H) / P(X).。对于多属性的数据集,计算 P(X|Ci) 的开销非常大,为减低计算复杂度,我们做条件独立的假设,即给定元组的类标号,假定属性值有条件地相互独立,即在属性间不存在依赖关系。此程序仅为算法的一个实现,根据训练数据训练分类器-Bayesian algorithm is based on the Bayes theorem P (H | X) = P (X | H) P (H)/P (X).. For multi-attribute data sets, computing P (X | Ci) of the overhead is very large, in order to reduce the computational complexity, we do conditional independence assumption that a given tuple class label, it is assumed that property values conditionally independent of each other, that does not exist in the inter-attribute dependencies. This procedure is only an implementation of algorithm, according to training data classifier training
Platform: | Size: 162816 | Author: guifeng2002 | Hits:

[Program docsasdw

Description: 现有数字信号自动调制识别方法大多只适用于无记忆信号,如PSK、ASK、FSK信号等。将有记忆 信号(MSK信号)和无记忆信号一起考虑,提出了一种改进的数字信号自动识别方法。该方法采用信号的瞬时统 计量作为特征参数,采用多层神经网络作为分类器。计算机仿真表明:当噪声采用高斯白噪声,并且信噪比大于 l5 dB时,识别率高于96% ;当信噪比不低于l0 dB时,识别率不低于90%。-Existing digital signal automatic modulation recognition methods are mostly applied only to memoryless signals, such as PSK, ASK, FSK signals. Will have a memory signal (MSK signal) and non-memory signal into consideration, an improved digital signal automatic identification method. This method is the use of the instantaneous signal statistics as a characteristic parameter, the use of multi-layer neural network as classifier. Computer simulation shows that: When the noise using Gaussian white noise, and signal to noise ratio greater than l5 dB, the recognition rate is higher than 96 when the signal to noise ratio not less than l0 dB, the recognition rate of not less than 90.
Platform: | Size: 185344 | Author: happyuan | Hits:

[Software Engineeringcode_about_AdaBoost

Description: AdaBoost算法中寻找最优阈值分类器的代码优化.htm-AdaBoost algorithm to find the optimal threshold classifier code optimization. Htm
Platform: | Size: 7168 | Author: 王永平 | Hits:

[AI-NN-PRBpn1ha

Description: 用BP神经网络分类器进行分类识别的matlab源代码-Using BP Neural Network Classifier for classification and identification of the matlab source code
Platform: | Size: 1024 | Author: 张恒 | Hits:

[SCMSemanticAndaptationofNeuralNetwork

Description: Semantic analysis of multimedia content is an on going research area that has gained a lot of attention over the last few years. Additionally, machine learning techniques are widely used for multimedia analysis with great success. This work presents a combined approach to semantic adaptation of neural network classifiers in multimedia framework. It is based on a fuzzy reasoning engine which is able to evaluate the outputs and the confidence levels of the neural network classifier, using a knowledge base. Improved image segmentation results are obtained, which are used for adaptation of the network classifier, further increasing its ability to provide accurate classification of the specific content.
Platform: | Size: 831488 | Author: 焦亚民 | Hits:

[Special Effectssvm_src

Description: Support Vector Machine Classifier(SVM) 基于支持向量基的图像分类方法,程序变得很好,国外网站上下的,是一个完整的工程-Support Vector Machine Classifier (SVM) based on support vector-based image classification methods, procedures have become very good, abroad site from top to bottom, is a complete project
Platform: | Size: 8192 | Author: haoyubao | Hits:

[OtherSVMclassification

Description: 介绍了SVM分类器原理,已经改进的算法,还有改进后的实验结果等等,是一个难得的好资料! -Introduced the principle of SVM classifier, the algorithm has been improved, as well as improved experimental results, etc., is a rare good information!
Platform: | Size: 509952 | Author: 施毓俏 | Hits:

[OtherKNNVB

Description: 最短距离法分类器VB实现,包括有详细例程说明-The shortest distance classifier VB to achieve, including a detailed description routines
Platform: | Size: 647168 | Author: dong wei | Hits:
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