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adaboost
- 两个adaboost算法，代码很短，都有中文注释，第二个代码是第一个的改进。-Two algorithms about adaboost ,the code is very brief,including the Chinese comments. The second one improver better than the first one.
AdaboostVSsvm
- 一篇关于SVM和adaboost算法对比的文章。分别运用两种方法进行目标识别，比较算法与结果-A comparison on the SVM algorithm and adaboost article. Two methods were used for target identification, comparison algorithm and results
lhtgaijin
- svm预测程序，绝对能用，但是需要根据向量维数进行相应调整-svm forecasting process definitely can, but need to carry out the corresponding dimension vector adjustment
adaboostAndSVM
- adaboost和SVM的文章.可能学习人脸识别或者模式识别的朋友们需要。也是来自于网络。-adaboost classifiers, and svm doc.from internet。
AdaBoost(original)
- AdaBoost(original),普通的AdaBoost算法的Matlab实现-AdaBoost(original)
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
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
spider
- matlab机器学习最新的工具箱，包含多种学习算法如kmean、adaboost、svm等-the latest machine learning matlab toolbox contains a variety of learning algorithms such as kmean, adaboost, svm, etc.
CODE
- 1.GeometricContext文件是完成图片中几何方向目标分类。 参考文献《Automatic Photo Pop-up》Hoiem 2005 2 GrabCut文件是完成图像中目标交互式分割 参考文献《“GrabCut” — Interactive Foreground Extraction using Iterated Graph Cuts》 C. Rother 2004 3 HOG文件是自己编写的根据HOG特征检测行人的matlab代码 4 虹膜识别程序
lunwen
- 提出一种多尺度方向(multi-scale orientation,简称 MSO)特征描述子用于静态图片中的人体目标检 测.MSO 特征由随机采样的图像方块组成,包含了粗特征集合与精特征集合.其中,粗特征是图像块的方向,而精特征 由 Gabor 小波幅值响应竞争获得.对于两种特征,分别采用贪心算法进行选择,并使用级联 Adaboost 算法及 SVM 训 练检测模型.基于粗特征的 Adaboost 分类器能够保证高的检测速度,而基于精特征的 SVM 分类器则保证了检测精 度.另
dataming
- 介绍数据挖掘的10种主要算法及其应用 一种透过数理模式来分析企业内储存的大量资料，以找出不同的客户或市场划分，分析出消费者喜好和行为的方法。 -Top 10 algorithms in data mining his paper presents the top 10 data mining algorithms identified by the IEEE International Conference on Data Mining (ICDM) in December 2006:
matlab-face-detection
- pca+svm 与pca +adaboost 人脸检测，里面包含有程序的详细说明-pca+svm, pca+adaboost people face detection, which contains a detailed descr iption of the program
Adaboost
- matlab实现AdaBoost,弱分类算法包括fisher 伪逆 svm naivebayes 决策树。-matlab implements AdaBoost, weak classification algorithms include fisher pseudoinverse svm naivebayes tree.
spider20060724
- 机器学习和模式识别工具包spider。内容很丰富。包含svm 决策树（C45,J48）、svm、knn、adaboost、bagging、hmm（隐马尔科夫模型）、随机树（random forest）等-Machine learning and pattern recognition toolkit spider. Very rich in contents. Tree contains svm (C45, J48), svm, knn, adaboost, bagging, hmm (hidd
Pattern_Recognition
- 自己在硕士期间用到的各种模式识别，机器学习，数据挖掘算法的matlab程序。C4_5,NN，SVM，adaboost,KNN等-During their Master used a variety of pattern recognition, machine learning, data mining algorithm matlab program. C4_5, NN, SVM, adaboost, KNN, etc.
Ada_SVM
- AdaBoost 和SVM 组合 分类识别代码-combine AdaBoost and SVM to classification
weka机器学习十大算法
- 对机器学习领域的十个经典算法进行了详细介绍，包括：AdaBoost、Apriori、C4.5、CART、EM、K-means、kNN、PageRand、SVM和朴素贝叶斯(Ten classical algorithms in machine learning domain are introduced in detail, including AdaBoost, Apriori, C4.5, CART, EM, K-means, kNN, PageRand, SVM and Nave Baye
classical-machine-learning-algorithm-master
- bayesian, k-means, knn, SVM, The Apriori algorithm, expectation-maximization(EM), C4.5, page rank, AdaBoost, CART
da
- 基于码本（codebook）的背景建模的背景差分法+级联基于LBK或haar的adaboost和基于hog的svm分类器+快速hough圆变换进行人头识别+基于区域特征的目标跟踪算法。(编程) AdaBoost是一种增强性机器学习算法，它用于把弱分类器联合成强分类器；SVM本身就是(Background modeling based on codebook (codebook) background difference method + cascade based on LBK or Haa
AdaBoost
- adaboost 集成多个回归算法（线性回归、岭回归、LASSO等）(Adaboost integrates multiple regression algorithms)