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patternRecognition
- 这系列课件系统地讲述了模式识别的基本理论和基本方法。内容涵盖了贝叶斯决策、概率密度函数的估计、线性判别函数、邻近法则、特征的选择和提取、非监督学习、神经网络、模糊模式识别等。-This series of courseware on a pattern recognition system to the basic theory and basic methods. Covers the Bayesian decision-making, the estimated probability de
PatternRecongnition
- 本程序是关于模式识别基本操作的，给出了贝叶斯判别函数等-This procedure is about the basic operation of pattern recognition, Bayesian discriminant function is given, such as
vcdigita-image-patten-
- 本书介绍了模式识别和人工智能中的一些基本理论以及一些相关的模型,包括贝叶斯决策、线性判别函数、神经网络理论、隐马尔可夫模型、聚类技术等-This book describes the pattern recognition and artificial intelligence in some of the basic theory and some related models, including Bayesian decision-making, linear discriminant f
linearfunc
- 模式识别中两种常用的线性判别函数方法。fisher函数，和MSE。train.txt是训练集。-Pattern recognition of two commonly used linear discriminant function method. fisher function, and MSE. train.txt is the training set.
stprtool_v2.12
- 统计模式识别工具箱(STPRTool 版本2.12 2013-09-12) 功能有线性判别函数、特征提取、密度估计和聚类、支持向量机、贝叶斯分类器、交叉验证等-Statistical Pattern Recognition Toolbox Methods: Fisher,PCA,GMM,K-means,SVM,Bayes classifier,Cross-validation,KNN,etc.
kbujj
- 利用自然梯度算法，包括脚本文件和函数文件形式，模式识别中的bayes判别分析算法。- Use of natural gradient algorithm, Including scr ipt files and function files in the form, Pattern Recognition bayes discriminant analysis algorithm.