搜索资源列表
Adaboost
- 一个用matlab的实现的Adaboost_M1, 主要用运捆绑不同的分类器. boosting 算法的一种 -using a Matlab Adaboost_M1 the realization of the main shipped bundled with different types of devices. A boosting algorithm
MATLABArsenal
- 一个matlab的工具包,里面包括一些分类器 例如 KNN KMEAN SVM NETLAB 等等有很多.-a Matlab tool kits, including some inside classifier for example KNN KMEAN SVM NETLAB etc. plenty.
27796720simple-SVM
- 支持向量积的一些分类器训练的matlab代码-support vector plot of some classifier training Matlab code
感知器算法Matlab源码
- 感知器算法Matlab源码。用于解决感知器分类的问题(Perceptron algorithm Matlab source code)
PCA
- 对高维图像进行PCA和KNN分类器处理转换为低维图像(use PCA and KNN for high dimensional image)
NMF
- 使用NMF和KNN分类器实现对高维图像的降维处理(use NMF and KNN for high dimensional image)
da
- 基于码本(codebook)的背景建模的背景差分法+级联基于LBK或haar的adaboost和基于hog的svm分类器+快速hough圆变换进行人头识别+基于区域特征的目标跟踪算法。(编程) AdaBoost是一种增强性机器学习算法,它用于把弱分类器联合成强分类器;SVM本身就是(Background modeling based on codebook (codebook) background difference method + cascade based on LBK or Haa
fa(4)
- 基于码本(codebook)的背景建模的背景差分法+级联基于LBK或haar的adaboost和基于hog的svm分类器+快速hough圆变换进行人头识别+基于区域特征的目标跟踪算法。(编程)(Background modeling based on codebook (codebook) background difference method + cascade based on LBK or Haar AdaBoost and hog based SVM Classifier + fast
ga (6)
- 基于码本(codebook)的背景建模的背景差分法+级联基于LBK或haar的adaboost和基于hog的svm分类器+快速hough圆变换进行人头识别+基于区域特征的目标跟踪算法。(编程) AdaBoost是一种增强性机器学习算法(Background modeling based on codebook (codebook) background difference method + cascade based on LBK or Haar AdaBoost and hog based
gmm(2)
- 基于码本(codebook)的背景建模的背景差分法+级联基于LBK或haar的adaboost和基于hog的svm分类器+快速hough圆变换进行人头识别(Background modeling based on codebook (codebook) background difference method + cascade based on LBK or Haar AdaBoost and hog based SVM Classifier + fast Hough circle trans
rq(3)
- 基于码本(codebook)的背景建模的背景差分法+级联基于LBK或haar的adaboost和基于hog的svm分类器+快速hough圆变换进行人头识别+基于区域特征的目标跟踪算法。(编程) AdaBoost是一种增强性机器学习算法,它用于把弱分类器联合成强分类分类器(Background modeling based on codebook (codebook) background difference method + cascade based on LBK or Haar AdaB
adaboost_test
- 一个简单的基于matlab实现的adaboost分类器算法实现(A simple implementation of AdaBoost classifier algorithm based on MATLAB)
Demo_Broadlearning_MNIST
- 宽度学习是最近比较热的分类器,可用于图像分类等应用(image classification Broad learning)
Facial detector
- 人脸识别系统 通过matlab自带分类器和降噪功能对图片人脸的五官和人脸进行勾勒(The face recognition system is based on Matlab's own classifier and noise reduction function to outline facial features and faces.)
fenlei
- 利用hog提取特征输入到svm分类器中,适用于新手(Using hog extraction feature input to svm classifier, suitable for novices)
RandomForest_matlab
- 随机森林是一个包含多个决策树的分类器,通过matlab实现实现随机森林算法(Matlab implementation of random forest algorithm)
adaboost
- 基于matlab平台的集成学习算法,基分类器为决策树的adaboost(An integrated learning algorithm based on MATLAB platform, the base classifier is AdaBoost of decision tre)
螃蟹分类matlab
- 螃蟹分类 %在演示中,试图建立一个分类器,根据它的物理测量识别螃蟹的性别。 %螃蟹的六物理特性:品种,前腿宽,后腿宽,长,宽,深度。 %问题是根据给定的观测值识别每个螃蟹的性别。 %在演示中,试图建立一个分类器,根据它的物理测量识别螃蟹的性别。 %螃蟹的六物理特性:品种,前腿宽,后腿宽,长,宽,深度。 %问题是根据给定的观测值识别每个螃蟹的性别。
Random-Forests-Matlab-master (2)
- 要说随机森林,必须先讲决策树。决策树是一种基本的分类器,一般是将特征分为两类(决策树也可以用来回归,不过本文中暂且不表)。构建好的决策树呈树形结构,可以认为是if-then规则的集合,主要优点是模型具有可读性,分类速度快。(In machine learning, a random forest is a classifier that contains multiple decision trees, and its output category is determined by the m
SRC_SOMP_matlab-master
- 稀疏表示分类器应用于高光谱图像分类的MATLAB代码实现(MATLAB Code Implementation of Sparse Representation Classifier for Hyperspectral Image Classification)