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opencv学习笔记10:机器学习


机器学习算法

Mahalanobis: 
doubele cvMahalanobis
-cvCalcCovarMatrix
-cvInvertK-means:
void cvKMeans2Normal/Naïve Bayes classifer:
bool CvNormalBayesClassifier::train
float CvNormalBayesClassifier::predictDecision trees:
bool CvDTree::train
-CvDTreeParams
CvDTreeNode* CvDTree::predictBoosting:
CvBoost::DISCRETE(discrete AdaBoost)
CvBoost::REAL(real AdaBoost)
CvBoost::LOGIT(Logit AdaBoost)
CvBoost::GENTLE(gentle AdaBoost)
bool CvBoost::train
-CvBoostParams
float CvBoost::predictRandom trees:
bool CvRTrees::train
-CvRTParams
double CvRTrees::predictFace detector/Haar classifer:
CvSeq* cvHaarDetectObjectsExpectation maximization (EM)
CvEMK-nearest neighbors:
CvKNeastNeural networks/Multilayer perceptron (MLP)
CvANN_MLPSupport vector machine (SVM)
CvSVM

机器学习常见问题及解决方案

opencv学习笔记10:机器学习_解决方案

评估机器学习结果的工具

opencv学习笔记10:机器学习_解决方案_02


opencv学习笔记10:机器学习_opencv_03


opencv学习笔记10:机器学习_git_04


opencv学习笔记10:机器学习_机器学习_05


opencv学习笔记10:机器学习_opencv_06


opencv学习笔记10:机器学习_机器学习_07


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