搜索资源列表
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
PW_1.0.1
- 这个c程序实现几种2D和3D分割算法，这些算法可以参考下面这篇论文，程序的运行请查看README.txt-Camille Couprie, Leo Grady, Laurent Najman and Hugues Talbot , "Power Watersheds: A New Image Segmentation Framework Extending Graph Cuts, Random Walker and Optimal Spanning Forest", ICCV 09, 2009
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
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
Real-Time-Head-Pose-Estimation-from
- 随机森林法估计人脸姿态。我们提出用于估计位置和一个人的头部的方向，从由一个低质量的设备获取的深度数据的系统。-Random Forest method to estimate the face pose,。We present a system for estimating location and orientation of a person s head, from depth data acquired by a low quality device.
Classifier
- 几种分类器，包括adaboost和随机森林-Several classifiers including adaboost and random forest
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
- 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
RF_Class_C
- 实现随机森林的分类，可以对二维图像进行随机审理分类处理。-random forest
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
adaboost-and-rbf
- 随机森林算法在图像特征分类回归中的应用，通过结合神经网络进行更好的特征数据处理-Application of random forest algorithm in image classification and regression, better features by combining neural networks data processing
RF_Reg_C
- 随机森林算法的matlab代码，这里旨在给初学者研究的随机树回归算法-Random forest algorithm Matlab code, aimed at beginners study a random tree algorithm
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.)
stacking
- kaggle digitrecognizer MNIST by stacking some machine learning method, such like GBM(Gradient Boosting Method), LR, Extra Randomized Trees, Random Forest,KNN,etc.用stacking的方法实现手写数字识别MNIST。(kaggle digitrecognizer MNIST by stacking some machine learnin
head_pose_estimation-----2
- 利用深度头像，使用随机回归森林的方法，进行头部姿态估计(Head pose estimation by means of random regression forest using deep head image)
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)
GoogleEarthEngine
- 在google earth engine云平台对影像进行自动分类提取，需要手动输入样本及研究区(Automatic image classification and extraction on Google Earth engine cloud platform requires manual input of samples and research areas)