搜索资源列表
houghforest
- 使用hough随机森林算法做的单类物体识别-Random forest algorithms use hough a single class of object recognition do
Hough-Forest
- 使用hough森林方法检测识别图片中的物体，比随机森林速度更快。-using hough forest method to detect and recognize the objective in image rather than using the random forest method
random-forest
- 随机森林算法是opencv中的重要的算法，其中讲述了随机森林的定义特征构建方法等-Random Forests algorithm is an important algorithm in opencv, which describes the defining characteristics of a random forest construction methods
houghForest
- 这个是Dr. Juergan Gall写的检测识别图片中的物体，有关的文章名字是Class-specific Hough Forests for Object detection. hough森林方法结合了随机森林和Hough选票去估计物体中心的可能。-A method for the detection of instances of an object class.A class-specific Hough forest is a random forest that maps image
RF_Class_C
- 用于对图像特征的分类，随机森林算法是一类很好的算法-For the classification of image features, random forest algorithm is a kind of a good algorithm
class-specific-Hough-forests-
- 用于目标检测的Hough森林分类法。比随即森林效果要好。附有文章和代码。代码是在unix环境下的Opencv运行的。还有训练数据。-ClassSpecifi c Hough Forests for Object Detection，better than random forest.include paper and source code ,working in Opencv .
OnlineForest-0.11.tar
- online random forest 在线随机森林做跟踪和分类的代码-online random forest-line tracking and classification random forest to do the code
RF_Class_C
- 随机森林分类代码，，很详细，，含有含多个函数文件-Random forest classification code, very detailed, containing containing multiple functions file
RandomForest-C-version
- 随机森林是机器学习领域中一种有效的组合学习模型。在目标检测识别算法中，随机森林被证实在分类中具有很好的性能和效果。提供随机森林源码以供学习参考。-Random Forests field of machine learning is an effective combination of learning model. Target detection and recognition algorithms, random forests was confirmed in the classifi
suiji
- 随机森林的代码，c++编写，有用到随机森林的可以看看！-Random forest code, c++ prepared, useful to the random forest can have a look!
Random-Forest-Matlab-master
- 随机森林用于 图像处理matalab 代码-Random Forest matalab code for image processing
RANDOM FOREST
- Random Forest by Leo 13 Apr 2011 (Updated 11 Apr 2012) Creates an ensemble of cart trees similar to the matlab TreeBagger class. | Watch this File.
random-forest
- 决策树模型的C++实现，可用来组成随机森林建立随机森林分类器做数据分类及图像分类，代码中有简单的测试样例-C++ implementation of decision tree model, to form a random forest is used to establish the random forest classifier for data classification and image classification, the code is simple test sample
Radom-Forest[ok]
- 随机森林Matlab代码并附有使用说明，用于图像分类处理-Matlab code of Random Forest
online-random-forests-master
- 在线随机森林算法的源码，用于分类模式识别有很好的效果，适用于linux系统下。-Online Random Forest algorithm source code, for classification pattern recognition have a good effect for linux system.
random_forest
- 随机森林在mnist上的实现，可以下载数据集后，改变路径运行。(Random forest on the MNIST implementation, you can download the data set, change the path to run.)
random forest
- 简单的随机树生成代码 可以直观的对随机树有一个直观的认识。(Simple random tree generation code can intuitively have an intuitive understanding of random trees.)
train the random forest
- train the random forest classifier for digital processing
random forest
- 利用matlab编程来实现多光谱遥感数据的随机森林分类(Random Forest Classification by Multispectral Remote Sensing)
random forest
- 利用R语言编程实现高光谱遥感的随机森林分类(Random Forest Classification Based on Hyperspectral Remote Sensing Using R Language Programming)