搜索资源列表
Bayes
- 传统贝叶斯分类器，最小错误率贝叶斯分类器、最小风险贝叶斯分类器-Traditional Bayesian classifier, the minimum error rate classifier, minimum risk Bayes classifier
jiyutezhengronghehemohuhepanbian
- 提出了基于特征融合和模糊核判别分析(FKDA)的面部表情识别方法。首先，从每幅人脸图像中手工定 位34个基准点，作为面部表情图像的几何特征，同时采用Gabor小波变换方法对每幅表情图像进行变换，并提取基 准点处的Gabor小波系数值作为表情图像的Gabor特征；其次，利用典型相关分析技术对几何特征和Gabor特征进 行特征融合，作为表情识别的输人特征；然后，利用模糊核判别分析方法进一步提取表情的鉴别特征；最后，采用最 近邻分类器完成表情的分类识别。通过在JAFFE国际表情数据库和
simulinkModels
- this is simulink model i use for testing modulation classifier algorithms
bayes
- Naive Bayes Classifier for an arff file (Weka file format)
SVM
- 线性支撑矢量机分类器 对模式识别问题中的线性可分问题进行分类-Linear support vector machine classifier pattern recognition problems in the linear separable classification
matlab
- 模式识别中的线性分类器的设计，包括感知机，最小二乘法和支撑矢量机的算法的MATLAB代码。-Pattern Recognition linear classifier design, including perception, least squares and support vector machine algorithm MATLAB code.
liblinear-1.51.tar
- The library of linear classifier
Classifier
- 本程序完成的功能是模式识别中的两类线性分类器-Test Report on Two-category Classifier
bayes
- 贝叶斯分类器的设计与实现，非常好的应用程序，能够在其上面实现人脸识别-Bayesian classifier design and implementation of a very good application, face recognition can be achieved in the above
bayes
- 实现朴素贝叶斯文本分类器，用java实验，还包括readme和训练集-Naive Bayes text classifier to achieve with java experiments, including readme and the training set
SVMClassifier
- a demo of implementing SVM Classifier
Classifier_min_Local_Mean_f
- 局部最小距离分类器，性能高于knn分类器，matlab环境下，可直接调用-Local minimum distance classifier, classifier performance than knn, matlab environment, can be called directly
kvoting
- kvoting classifier useful in pattern recognition
Fuzzy_Classifier_matlab_code
- 模糊分类论文pdf文件以及Matlab code源码，对学习很有帮助。-A Simple Fuzzy Classifier based on Inconsistency Analysis of Labeled Data
linear-category
- 本程序主要是对线性判别函数分类器进行实现。-Linear discriminant function classifier achieved.
classifier
- A classifier that is a ready information about classification tree ...
classifier
- Classifier in matlab
BayesClassification
- 贝叶斯分类器的设计，其中包括协方差相等与不等时的两类情况，分类效果很好-Bayesian classifier design, including equal and unequal covariance of two categories, very good classification performance
PCA_classifier
- A basic PCA classifier is provided here for a two class classification problem. An example is given, with some multimodal MRI scans from Multiple Sclerosis patients, in which the brain lesions of two patients are annotated and in the third are dete
adaboost_version1b
- 最经典AdaBoost实现，适合初学，有大量详细的注释，容易理解-This a classic AdaBoost implementation, in one single file with easy understandable code. The function consist of two parts a simple weak classifier and a boosting part: The weak classifier tries to find the b