文件名称:adaboost

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基于神经网络人脸识别之最,adaboost,感兴趣的可以亲测验证这个奇妙的算法-Face recognition based on neural network, adaboost, interested can kiss test pass this wonderful algorithm
(系统自动生成,下载前可以参看下载内容)

下载文件列表





adaboost\AdaBoost\AdaBoost.asv

........\........\AdaBoost.m

........\........\AdaBoostClassfy.m

........\........\AdaBoostWeakLearnerClassfy.m

........\........\analysis\analysisHypothesisFeature.asv

........\........\........\analysisHypothesisFeature.m

........\........\........\featureNameMap.m

........\........\calPredictErrorRate.m

........\........\limited\limitedTrainAdaBoostLearner.asv

........\........\.......\limitedTrainAdaBoostLearner.m

........\........\.......\testLimitedTrainAdaBoostLearner.asv

........\........\.......\testLimitedTrainAdaBoostLearner.m

........\........\other-adaboost\L_AdaBoost.m

........\........\..............\L_Detection.m

........\........\..............\L_FaceDetection.m

........\........\..............\L_partfeature.m

........\........\..............\L_RandomInt.m

........\........\..............\L_SingleFeatureLearner.m

........\........\..............\L_TrainingSamples.m

........\........\..............\L_WeakClassify.m

........\........\..............\L_WeakClassifyCall.m

........\........\..............\L_WeakLeaner.m

........\........\..............\PositionRecord.mat

........\........\..............\RatesAndIteration.mat

........\........\searchBestWeakLearner.m

........\........\testAdaBoost.m

........\........\TestAdaBoostExample.m

........\........\testAdaBoostLearner.m

........\........\trainAdaBoostLearner.m

........\AreaHypothesis200.mat

........\bayes\Bayes.m

........\.....\BayesTrain.m

........\.....\CrossValidate.m

........\.....\TestBayes.m

........\Boosting\boostComparasion.m

........\........\boostComparasionTest.m

........\........\EntropyBoost\SceBoost.m

........\........\............\testSceBoostExample.m

........\........\............\trainSceBoostLearner.m

........\........\FloatBoost\FloatBoost.asv

........\........\..........\FloatBoost.m

........\........\..........\testFloatBoost2.m

........\........\..........\trainFloatBoostLearner.m

........\........\MultiBoost\MultiBoost.m

........\........\RealBoost\RealBoost.m

........\........\.........\RealBoostClassfy.m

........\........\.........\testBoost.m

........\........\.........\testBoostLearner.m

........\........\.........\testRealBoost.m

........\........\.........\trainRealBoostLearner.m

........\CascadeBoost\AsfBoost\ASFCasAdaBoostDecision.m

........\............\........\testAsfCascadeAdaBoost.m

........\............\........\trainAsfCascadeAdaBoost.m

........\............\........\trainAsfCascadeAdaBoost2.m

........\............\bootstrapTest.asv

........\............\bootstrapTest.m

........\............\FeaSubsetCascadeAdaBoost.m

........\............\testCascadeAdaBoost.m

........\............\testFeatureSubsetCascadeBoost.m

........\............\trainCascadeAdaBoost.m

........\data.rar

........\feaExtract\color\extractColorFeature.m

........\..........\.....\rgb2hsi.m

........\..........\.....\rgb2yiq.m

........\..........\extractFeature.m

........\..........\extractFeatureForCpp.m

........\..........\Gabor\extractFFTTextureFeature.m

........\..........\.....\extractGaborFeature.m

........\..........\.....\gabor.m

........\..........\.....\GaborProps.m

........\..........\.....\testGaborFeature.m

........\..........\.rayComatrix\extractCoOccureTextFeature.m

........\..........\............\graycopropsex.m

........\..........\............\testGrayCoMatrixFeature.m

........\..........\....DifferStats\extractGrayDifferStatFeature.m

........\..........\...............\grayDifferStatProps.m

........\..........\...............\testGrayDifferenceStatisFeature.m

........\..........\....GradsComatrix\edgedetect.m

........\..........\.................\extractGGLCMSFeature.m

........\..........\.................\GrayGradsComatrix.m

........\..........\.................\GrayGradsComatrixProps.m

........\..........\.................\testGGLCMSFeature.m

........\..........\....RunLength\extractGRLMFeature.m

........\..........\.............\GrayRunLength.asv

........\..........\.............\GrayRunLength.m

........\..........\.............\GrayRunLengthProps.m

........\..........\.............\testGRLMF

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