搜索资源列表
adaboost
- 一种基于boosting方法的分类器，有很好的分类效果-Based on boosting method of classification, a very good classification results
DetFace
- 该程序可以实现对人脸检测，采用经典的Adaboost算法，利用了OPENCV库，简单可靠，亲测能用。-The program can be achieved on face detection, Adaboost algorithm classic, OPENCV library use, simple and reliable, pro-test be used.
pima-indians-diabetes
- This is kfold algorithm fo adaboost
ada_boost
- adaboost算法是数据挖掘的其中之一，希望可以帮助到更多人。-adaboost algorithm is one of data mining, hope to help more people.
Classifier_adaboost
- adaboost分类算法，用于两类成员的区分-AdaBoost classification algorithm for the distinction between the two categories of members
adaboost1
- adaboost的简单实现，生成adaboost模型的训练函数和测试测试样本的测试函数。-adaboost simple implementation, generate adaboost model training function test function test samples and test.
Test_AdaBoost_Example
- 简单的AdaBoost分类器的例子,测试效果-a simple adaboost example
AdaBoostforTextDetection
- 基于AdaBoost的自然场景中文本定位的论文，思路很不错-Based on AdaBoost Chinese natural scenes this positioning paper, the idea is very good
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
3-dimensions-adaboost
- 将弱分类器连接成强分类器算法，这里的创新点是可以用在三维数据上，适合初学者研究其编写过程。-The weak classifiers into strong classifier, where innovation can be used on a three dimensional data, prepared for beginners to study the process.
adaptive_adaboosting
- 集成学习中，自适应adaboost算法，可以下载下来参考一下-ensemble learning, adaptive adaboost algorithm, can download the reference
detect
- 基于opencv的haar+adaboost训练器的人脸和人眼检测，带有训练好的xml文件。-Opencv based haar+ adaboost face and eye detection trainer, having trained xml file.
Haar
- haar+adaboost人脸训练和检测源码,优化程序,速度极快-haar+adaboost face training and testing source code optimizer, fast
binarytree
- 二叉树分类器的训练matlab程序，以及利用Adaboost来训练强分类器的matlab代码-the program of train binarytree classifier,and train and get the strong classifier by using Adaboost
RandomForestaAdaBoost
- 随机森林，决策树以及adaboost分类器的java实现。随机森林和adaboost都基于决策树完成。-Random forests, tree and adaboost classifier java. Random Forest and adaboost are based on the decision tree is complete.
DataMining_5
- java实现的决策树代码和随机森林以及Adaboost,里面有自带的数据集可以测试，结果和书上描述一样，亲测有效-DesicionTree，RandomForest and AdaBoost implemented by java,have been tested by myself.It can help those who want to learn data mining
AdaBoost
- 非常简单，好用的人脸识别方法，有助于初学者对人脸检测算法有一定的了解。-very simper,it is good to help people to detece your face!
DeepLearnToolbox_CNN_lzbV2.0
- DeepLearnToolbox_CNN_lzbV2.0 深度学习,卷积神经网络,Matlab工具箱 参考文献: [1] Notes on Convolutional Neural Networks. Jake Bouvrie. 2006 [2] Gradient-Based Learning Applied to Document Recognition. Yann LeCun. 1998 [3]
DeepLearnToolbox_CNN_lzbV3.0
- CNN - 主程序 参考文献: [1] Notes on Convolutional Neural Networks. Jake Bouvrie. 2006 [2] Gradient-Based Learning Applied to Document Recognition. Yann LeCun. 1998 [3] https://github.com/rasmusbergpalm/DeepLe
codes-matlab
- this codes is Source code for face detection of viola paper.of its Features is: Feature Computation: The “Integral” image representation Feature Selection: The AdaBoost training algorithm . Real-timeliness: A cas