搜索资源列表
Digit-recognizer---knn-a-svm
- matlab中分别使用knn（k近邻）与svm（支持向量机）实现的对手写数字识别的二分类器-Digit recognizer(KNN and SVM) developed in matlab
Perceptron-Algorithm
- 一个简单的感知器算法，同样，对于学习模式识别的朋友会非常有用-A simple perceptron algorithm, and similarly, for learning pattern recognition will be very useful friends
ganzhiqisuanfa
- 感知器算法,模式识别等应用，数学算法，没有了-math depand on ganzhiqi
ganzhiqi_newp
- 使用matlab 感知器工具箱函数newp编写单层感知器文件，模式识别作业-Use the matlab perception toolbox function newp the preparation of single-layer perceptron file, pattern recognition operations
express
- 公式识别器，好用，模型及参数识别的必须模块，便于用户的输入与输出。-Formula recognizer, easy to use, models and parameter identification module must facilitate the user' s input and output.
6227374
- 模式识别中贝页斯分类器的MATLAB实现,且用不同颜色标记了分类点和错分点-Mr Page in pattern recognition classifier of MATLAB, and use different color tag by classification and fault point
PCA_classifier_version1b
- 许多图像问题需要某种物体的检测，其中图像之间的物体的外观有自然的变化。 如人脸识别，病变检测，神经通道分割。 这些图像问题可以通过手动注释图像对象来解决，以训练识别正常物体外观的模型。 这可以通过基于PCA的最大似然分类器来完成。(PCA algorithm suitable for detection / recognition of 2D image "objects")
bayes_C++
- 贝叶斯分类器-联合变量_C++，只需更改样本文件名即可测试。(The Bias classifier - the joint variable _C++, can be tested only by changing the name of the sample file.)
bayes_independent variable _C++
- 贝叶斯分类器-独立变量_C++，只需更改样本文件名即可测试。(Bias classifier - independent variable _C++, can be tested only by changing the name of the sample file.)
bayes_independent variable _matlab
- 贝叶斯分类器-独立变量_matlab，只需更改样本文件名即可测试。(Bias classifier - independent variable _matlab, can be tested only by changing the name of the sample file.)
bayes_joint variable _matlab
- 贝叶斯分类器-联合变量_C++，只需更改样本文件名即可测试。(The Bias classifier - the joint variable _C++, can be tested only by changing the name of the sample file.)