搜索资源列表
Adaboost_improve
- adaboost训练过程很烦琐，收集了Adaboost的改进算法的论文汇总，对做Adaboost的同志很有帮助-adaboost training process is very cumbersome, a collection of papers Improved Algorithm for Adaboost summary, very helpful for the comrades to do Adaboost
boostingDemo
- adaboost的实现算法，可进行人脸的样本训练-implementation of the AdaBoost algorithm, can be a sample of people face training
TrainingAdaboost
- adaboost 的训练程序，结合OPENCV的训练，可用于各种图形的检测-training adaboost class, also use opencv training example, you can training your own objects for detection.
AdaboostFr
- ADABOOST用于人脸检测的训练和分类程序改进，速度更快。-FOR FACE DETECTION FEATURE EXTRACTION AND CLASSIFICATION WITH QUICKER SPEED
SVM_FACE
- 基于支持向量机的人脸检测训练集增强算法实现。根据支持向量机(support vector machine，简称SVM)~ ，对基于边界的分类算"~(geometric approach)~ 言，类别边界附近的样本通常比其他样本包含有更多的分类信息．基于这一基本思路，以人脸检测问题为例．探讨了 对给定训练样本集进行边界增强的问题，并为此而提出了一种基于支持向量机和改进的非线性精简集算法 IRS(improved reduced set)的训练集边界样本增强算法，用以扩大-91l练集并改
weaklearn
- adaboost算法的源码，提供了训练，测试，剖析，评价等功能-This software is a Library for Adaptive Boosting. It provides a generic framework for the study of the Boosting algorithms. The framework provides the different tasks for boosting: Learning, Validation, Test, Pro
Adaboost-detection
- 基于ADABOOST的人脸检测程序，有分类器训练和测试-face detection based on adaboost
Adaboost
- Adaboost算法是一类弱分类器，本算法使用adaboost算法实现对于训练数据划分成两个组，然后可以用来进行数据的分类。-Adaboost algorithm is a class of weak classifier, the algorithm uses adaboost algorithm for the training data into two groups, and then can be used for data classification.
Attrain_v2d
- 一个基于adaboost的人脸检测分类器训练程序，用MMATLAB写的，希望能和大家分享，已通过测试。 -Based on the human face detection adaboost classifier training procedures, written in MMATLAB, and we hope to share, has been tested.
adaboost-train-test
- 级联分类器学习，训练，测试过程 选择了HOG特征和LBP特征-adaboost train learn test hog feature lbp feature
C_adaboost
- adaboost算法源码，Adaboost是一种迭代算法，其核心思想是针对同一个训练集训练不同的分类器(弱分类器)，然后把这些弱分类器集合起来，构成一个更强的最终分类器（强分类器），通过测试可以运行-adaboost algorithm source code, Adaboost is an iterative algorithm, the core idea is the same training set for different classifiers (weak classifiers
Adaboost
- 基于Adboost算法，对样本进行训练和测试。-Adboost algorithm based on training and testing samples.
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.
adaboost
- adaboost算法的训练和测试代码，简单的实例(The aim of the project is to provide a source of the meta-learning algorithm known as AdaBoost to improve the performance of the user-defined classifiers.)
AdaBoost算法
- 用matlab软件，实现adaboost算法。将数据集划分为训练集和测试集，给训练集的数据贴标签，用训练好的模型来测试测试数据的准确度。(Using Matlab to implement the AdaBoost algorithm. The data set is divided into training set and test set to label the data of the training set, and the accuracy of the test data i
基于PCA的人脸识别
- 使用PCA算法对人脸图像进行处理，使用adaboost算法训练分类器，对训练集中的20个人每人五张照片进行训练，对测试集中的同样多的照片进行识别，可以得到很高的识别率
人脸识别 MATLAB代码
- 使用pca方法对图像进行特征提取，对训练集的20个人的共一百张人脸进行训练，使用adaboost算法生成强分类器，可以对测试集的人脸图片进行识别，且识别率较高(The PCA method is used to extract the features of the image, and the training is carried out for a total of 100 faces of 20 people in the training set. The AdaBoost algor