搜索资源列表
adaboost_version1e
- adaboost code for training and testing see instructions inside
adaboost_version1e
- Matlab code for Classic AdaBoost Classifier
tryadaboosttool
- 对adaboost工具箱的一个使用范例。数据全部在代码中生成，简单易懂。最后将结果显示出来。-An example of using adaboost toolbox.
plate-crad-detect
- 基于haar+adaboost的车牌检测系统，可以说，国内前几名。 高清大图，小目标的车牌检测性能很好。可以支持多目标检测，检测速度1080P 时间在100ms以内，针对雨雾天，污迹，脏的车牌检测效果很好。 系统采用标准C C++开发，方便移植到linux，arm等-Based haar+adaboost license plate detection system, it can be said before the domestic few. HD big picture, lice
adaboost_version1e
- 一个简单的adaboost分类的方法。随机生成两组数据，训练分类器。之后再生成两组数据进行分类。效果很好-A simple way adaboost classification. Randomly generated two sets of data, to train a classifier. After re-generate two sets of data classification. Good results
adaboost_PY
- 做机器学习的同学都知道最具代表性的是AdaBoost算法（Adaptive Boosting Algorithm），这个是用Python实现的。希望能有帮助。-The well known AdaBoost algorithm (Adaptive Boosting Algorithm). Here is the Python version. Hope it helps.
Ada_Boost
- 模式识别中AdaBoost算法在matlab中实现-adaboost algorithm
project6
- Adaboost. Binary Tree. Entropy. MATLAB. Machine learning algorithms code.
FaceDetectorOtherversion
- 人脸检测代码，用matlab编写而成。方法：adaboost学习器学习法-Face detection code, compiled using matlab. Methods: AdaBoost learning machine learning method
face_recognition_adaBoost_M2
- 人脸检测代码，使用adaboost学习器学习法编写，用matlab编程-Face detection code, compiled using matlab. Methods: AdaBoost learning machine learning method
ml
- AdaBoost算法原理介绍、实现与应用，AdaBoost是机器学习领域的一个重要思想，欢迎感兴趣的朋友下载。-AdaBoost algorithm principle introduction, implementation and application, AdaBoost is an important idea in the field of machine learning, welcome interested friends to download.
AdaBoost
- 加强树算法的一个实例，最后取得了很好的分类结果，便于推广，分类器的代码可以根据实际进行更改。-Strengthen an instance tree algorithm, finally achieved good classification results, easy to promote, classification code can actually make changes.
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.
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.
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
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
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
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] https://github.com/rasmusberg
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/DeepLearnToolbox 作者：陆振波 电子