搜索资源列表
parzen-matlab
- pazzle 窗实现模式识别算法， parzen窗函数概率密度估计演示程序 完全按照《现代模式识别》孙即祥著作 2.4.4《动态聚类法》算法3实现 使用欧式距离作为测度标准-puzzle window to achieve pattern recognition algorithm
Matlab-libsvm-3.21
- LIBSVM是台湾大学林智仁(Lin Chih-Jen)教授等开发设计的一个简单、易于使用和快速有效的SVM模式识别与回归的软件包.-LIBSVM is a simple, easy to use and fast and efficient SVM pattern recognition and regression package Taiwan University Chih- Jen Lin (Lin Chih-Jen) development and design professor.
Matlab-(Bayers)
- 线性分类器可以实现线性可分的类别之间的分类决策，其形式简单，分类决策快速。但在许多模式识别的实际问题中，两个类的样本之间并没有明确的分类决策边界，线性分类器（包括广义线性分类器）无法完成分类任务，此时需要采用其它有效的分类方法。贝叶斯分类器就是另一种非常常见和实用的统计模式识别方法。-Linear classifier can be realized linearly separable classification decision between classes in the form of
Classification-MatLab-Toolbox
- matlab工具箱,包括SVM,ICA,PCA,NN等等模式识别算法,很有参考价值--attern recognition Matlab toolbox, including SVM, ICA, PCA, NN pattern recognition algorithms, and so on, of great reference value
max_min-distance-matlab
- 模式识别最大最小算法，MATLAB实现，可以实现鼠标选点，进行样例点的分类-Pattern recognition of the maximum and minimum algorithm, MATLAB implementation, can achieve the mouse point, classification of sample points
44549329
- 模式识别matlab工具箱,包括SVM,ICA,PCA,NN等等模式识别算法,很有参考价值-Pattern recognition matlab toolbox, including SVM, ICA and PCA and NN, and so on pattern recognition algorithm, is of great reference value
oxrplc
- 模式识别matlab工具箱,包括SVM,ICA,PCA,NN等等模式识别算法,很有参考价值-Pattern recognition matlab toolbox, including SVM, ICA and PCA and NN, and so on pattern recognition algorithm, is of great reference value
mejhnq-detection-matlab
- 支持向量机方法,用matlab实现,用于分类检测,模式识别,人脸检测等-Support vector machine (SVM) method, matlab, used for classification, pattern recognition, face detection, etc
61869883
- 模式识别matlab工具箱,包括SVM,ICA,PCA,NN等等模式识别算法,很有参考价值-Pattern recognition matlab toolbox, including SVM, ICA and PCA and NN, and so on pattern recognition algorithm, is of great reference value
LDA-matlab
- LDA智能算法，实现模式识别和聚类，例子是三维数据-LDA intelligent algorithm, to achieve pattern recognition and clustering, the example is three-dimensional data
sharingcode-LCKSVD
- 模式识别 字典学习 图像处理 本人亲测 可以直接运行！(Pattern recognition, dictionary learning, image processing)
shiyan2
- 对两组二维正态分布样本按fisher准则进行一维投影及分类(Two groups of two-dimensional normal distribution samples projected and classified according to the Fisher criterion)
simca
- 主成分分析的一种分类方法，用于模式识别。输入参数自己设定。(A classification method for principal component analysis. Used in pattern recognition.)
rzcrgnition
- 模式识别matlab工具箱,包括SVM,ICA,PCA,NN等等模式识别算法,很有参考价值(Pattern recognition matlab toolbox, including SVM, ICA and PCA and NN, and so on pattern recognition algorithm, is of great reference value)
贝叶斯决策实现线性样本分类
- MATLAB语言编程，用贝叶斯决策算法实现线性样本分类，输入待分类样本，输出样本分类决策面。(MATLAB programming language, using Bayesian decision algorithm to achieve linear sample classification, input samples to be classified, output samples, classification, decision surface.)
语音识别最新
- 用matlab仿真神经网络语音识别系统，里面用的是数字0-9作为训练模板，神经网络匹配模式(use the matlab to simulate word recognition system with neural network)
模式识别与智能计算中的PSO
- Pattern Recognition and Intelligent Computing PSO Code in a book
simpleOCR
- OCR 数字识别 大写字母识别 自由手写体数字识别 离线 matlab平台 模式识别 识别数字0-9 识别大写字母(OCR digital recognition free handwritten off-line matlab platform to identify 0-9 numbers)
三步搜索法
- 本实验的目的是学习Parzen窗估计和k最近邻估计方法。在之前的模式识别研究中，我们假设概率密度函数的参数形式已知，即判别函数J(.)的参数是已知的。本节使用非参数化的方法来处理任意形式的概率分布而不必事先考虑概率密度的参数形式。在模式识别中有躲在令人感兴趣的非参数化方法，Parzen窗估计和k最近邻估计就是两种经典的估计法。(The purpose of this experiment is to study the Parzen window estimation and the k nea
libsvm-3.17
- 支持向量机，用于模式识别的特征分类，基于MATLAB的工具包(Support vector machines are used for feature classification of pattern recognition, based on MATLAB Toolkit)