搜索资源列表
Adaboost
- 这是一个比较实用的ADBOOST算法的源代码，它是比较准确，希望大家喜欢。-This is a more practical algorithm ADBOOST source code, it is more accurate, I hope you like.
78455
- 用 gabor 和 AdaBoost （MultiBoost ）做目标检测图像识别-Using gabor and AdaBoost (MultiBoost) to do image recognition object detection
4936436-adaboostplate3
- License Plate Detection Using AdaBoost
61EDA_C1622
- Adaboost 正面人脸识别； 必须先装上OPENCV，编译环境乃是visual studio 2005 -Adaboost positive face recognition must be fitted with OPENCV, compiling environment is a visual studio 2005
multiboost-0.61.src.tar
- Adaboost实现，主要用于机器学习的多分类器聚合， 最终形成分类效果逐渐增强的分类器-Adaboost implementation, is mainly used for machine learning, multiple classifier aggregation, the final shape classification results show a gradual increase of the classifier
SETraining2
- adaboost gui traning program
10Algorithms-08
- This paper presents the top 10 data mining algorithms identified by the IEEE International Conference on Data Mining (ICDM) in December 2006: C4.5, k-Means, SVM, Apriori, EM, PageRank, AdaBoost, kNN, Naive Bayes, and CART. These top 10 algorithms
AdaBoost_weaklearner_1
- adaboost 弱分类器学习算法,最成功的人脸识别算法。但是学习时间很长，这是它的缺点-adaboost
detection3
- 在AdaBoost人脸检测的基础上,对眼睛实现精确定位。先得到人脸图像的谷区域图像, 再获取眼睛的候选点,综合分离度信息和霍夫变换的结果来计算每一个眼睛对的代价函数,找到比较 准确的眼睛位置。-In the AdaBoost face detection based on the accurate positioning of the eyes. Obtain prior approval from the image of the Valley area face images,
Adaboostfacerecongize
- 一个正面的adaboost的人脸识别的代码，但不是本人所作-adaboost face recongize
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.
AdaBoostDemo
- Some Example of Adaboost algorithm.
04.FaceDetect
- adaboost 训练方式 有点失真 但是还是可以算出人脸-adaboost
adaboos_demo
- adaboost demo this is very much useful to evalute a demo of adaboost
BNL
- its about adaboost algorithm
FaceDetectorOtherversion
- 采用adaboost算法用于人脸检测，实现较快的人脸识别。使用MATLAB语言编写。-Using adaboost face detection algorithm is used to achieve a faster face recognition. Using the MATLAB language.
AdaboostHumanDetection
- Adaboost算法的行人检测，这是一篇硕士学位论文-Adaboost algorithm of pedestrian detection, which is a master' s degree thesis
ClassifyActiveBasis
- Face detection for adaboost detection-Face
Ada_Boost
- adaboost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)。-adaboost source is an iterative algorithm Adaboost, the core idea is that a training set for the same training the different classifiers (weak classifier), then
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