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Description: 一篇介绍Adaboost算法的文章，有很大的用处，大家-1 Introduction Adaboost algorithm article, there are a lot of usefulness, U.S.
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Author: 王永平 |
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Description: adaboost的matlab实现，可进行车辆识别的训练-AdaBoost' s matlab implementation, it can conduct vehicle identification training
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Size: 38912 |
Author: yinxin |
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Description: Boosting is a general method for improving the accuracy of any given
learning algorithm. Focusing primarily on the AdaBoost algorithm, this
chapter overviews some of the recent work on boosting including analyses
of AdaBoost’s training error and generalization error boosting’s connection
to game theory and linear programming the relationship between boosting
and logistic regression extensions of AdaBoost for multiclass classification
problems methods of incorporating human knowledge into boosting and
experimental and applied work using boosting.-Boosting is a general method for improving the accuracy of any given
learning algorithm. Focusing primarily on the AdaBoost algorithm, this
chapter overviews some of the recent work on boosting including analyses
of AdaBoost’s training error and generalization error boosting’s connection
to game theory and linear programming the relationship between boosting
and logistic regression extensions of AdaBoost for multiclass classification
problems methods of incorporating human knowledge into boosting and
experimental and applied work using boosting.
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Size: 155648 |
Author: Tatyana |
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Description: adaboosting算法详细解析What’s So Good About Adaboost-adaboosting
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Size: 647168 |
Author: bbsx |
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Description: gacv 名字取自 gabor , adaboost , opencv , 他用了 gabor滤波，AdaBoost （MultiBoost ）
分类器和 opencv 开发库，这是第二个测试版叫 gacv02 。这个程序的第一个测试版 gacv01
可以检测大小有一定变化的目标，但是不能检测平面旋转的目标。gacv02 改进了算法可以处
理目标的大小变化和平面旋转，检测速度也有了提高。
-gacv name from gabor, adaboost, opencv, he used gabor filtering, AdaBoost (MultiBoost) classifier and opencv Development Library, this is the second beta version is called gacv02. The program' s first test version of gacv01 can detect changes in the size of a certain goal, but can not detect plane rotation target. gacv02 improved algorithm can handle the size of target changes and plane rotation, speed was also higher.
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Author: zxl |
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Description: 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
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Size: 5785600 |
Author: jencolTang |
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Description: Adaboost的VC++实现，很好的阐述了算法的要点，非常适合初学者学习，是入门的好代码-Adaboost' s VC++ to achieve, a good exposition of the main points of the algorithm is very suitable for beginners to learn, is a good entry code
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Author: 李昕 |
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Description: AdaBoost 是一种将弱分类器线性结合成强分类器的方法，由Jiri Matas 和 Jan Sˇ ochman提出-AdaBoost is a linear combination of the weak classifiers into a strong classifier method, by Jiri Matas and Jan S ochman proposed
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Size: 3072 |
Author: 董晶晶 |
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Description: 基于matlab2008的人脸识别系统，使用了PCA
+Adaboost与PCA+SVM分别实现了人脸识别，使用了orl人脸库，给一个人的图片就可以识别此人身份，识别率高达84 -Matlab2008 face recognition system based on use of the PCA
+ Adaboost achieved with the PCA+ SVM face recognition, respectively, using the orl face database, to a person s picture on the identity of this person can be identified, the recognition rate as high as 84
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Size: 16052224 |
Author: 周天 |
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Description: 人脸识别系统
人脸检测不仅是全自动人脸识别系统的基本步骤，而且本身也可以独立的应用于视频监控、图像检索等领域，因而具有重要的研究价值。尽管Viola等人于2001年提出的基于AdaBoost的人脸检测算法以其卓越的性能而得到了大家的青睐，并已基本解决了大多数情况下的人脸检测问题，但在实际应用中，尤其是智能监控应用中，仍然存在较多挑战性问题。-Automatic face detection face recognition system is not only the basic steps, and itself can be applied independently of the video surveillance, image retrieval and other fields, which have important research value. Although Viola, who in 2001 proposed the AdaBoost-based face detection algorithm for its outstanding performance and get everyone s favor, and has basically solved the majority of cases, the face detection problem, but in practical applications, in particular, Is an intelligent surveillance applications, there are still many challenging issues.
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Size: 157696 |
Author: 吴嘉晔 |
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Description: MATLAB的ADABOOST算法
人脸识别程序-MATLAB' s algorithm for face recognition program ADABOOST
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Size: 268288 |
Author: 陈扬洋 |
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Description: 与上一个不同的
MATLAB的ADABOOST算法实例
人脸识别-And on a different
MATLAB s algorithm for instance ADABOOST
Face Recognition
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Size: 2283520 |
Author: 陈扬洋 |
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Description: 根据BP神经网络和Adaboost原理，在MATLAB中编程实现基于BP_Adaboost算法的公司财务预警建模-According to the BP neural network and Adaboost principle, early warning modeling the company s financial based on BP_Adaboost algorithm in MATLAB programming
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Size: 60416 |
Author: 阿俊 |
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Description: 跟踪人的眼睛，类似人脸识别算法中的adaboost，通过学习人眼模式，实现人眼检测跟踪。-Tracking people' s eyes, similar face recognition algorithm adaboost by learning human eye model, detecting and tracking the human eye.
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Size: 23378944 |
Author: cz |
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Description: 这个源代码原创，利用MFC编程，可以实现人头检测，通过分类器检测。如果运行有问题，可以联系我，我可以提供相应boost分类器。-It s a program detecting huamn face using adaboost, with the help of MFC.
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Author: 吴夏英 |
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Description: 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）。
load clouds
[test_targets, E] = lijsada_boost(patterns, targets, patterns, 100, Stumps ,[])
train_patterns 每列为一样本
train_targets 每列为一样本目标
100 :Number Of Iterations
Stumps: Weak Learner Type
Learner s parameters :[]
adaboost +stumps
testRightR = 0.75-Adaboost is an iterative algorithm
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Size: 31744 |
Author: 而是 |
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Description: ICCV2013：
简 称UDN算法，从文中描述的检测效果来看，该方法是所有方法中最好的，并且，效果远超过其他方法。经过对论文和该算法源码的研究，该算法是与作者另外一篇 论文的方法 ，另外的论文算法做图片扫描，得到矩形框，然后用该方法对矩形框进行进一步确认，以及降低误警率和漏警率。另外的论文是：Multi-Stage Contextual Deep Learning for Pedestrian Detection
说得难听一点，这篇文章对行人检测没有多大的贡献。仅仅是用深度学习的CNN做candidate window的确认。而主要的行人检测的算法还是HOG+CSS+adaboost-ICCV2013:
UDN algorithm, described in the paper the detection results, the method is the best of all the methods, and the effect is far more than other methods. Through the research of the thesis and the source code of the algorithm, the algorithm is and author also a paper method, also the algorithm do scan pictures and get the rectangular box, then by the method of rectangular box for further confirmation, and reduce the false alarm rate and false alarm rate. Another paper is: Contextual Deep Learning for Pedestrian Multi-Stage Detection
To put it bluntly, this article does not have much contribution to the pedestrian detection. Just use deep learning s CNN to do window candidate s confirmation. And the main pedestrian detection algorithm is HOG+CSS+adaboost
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Size: 6100992 |
Author: 韩梦阁 |
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