文件名称:ActRecTut-master
- 所属分类：
- matlab例程
- 资源属性：
- [Matlab] [源码]
- 上传时间：
- 2016-04-22
- 文件大小：
- 20.48mb
- 下载次数：
- 0次
- 提 供 者：
- Inayath********
- 相关连接：
- 无
- 下载说明：
- 别用迅雷下载，失败请重下，重下不扣分！
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Human action detection in sign languauge and american sign langauage
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下载文件列表
ActRecTut-master
................\Classification
................\..............\DA.m
................\..............\SVM.m
................\..............\SVMlight.m
................\..............\cHMM.m
................\..............\classification.m
................\..............\jointboosting.m
................\..............\knnVoting.m
................\..............\liblinear.m
................\..............\naiveBayes.m
................\Data
................\....\subject1_gesture
................\....\................\S111.dat
................\....\................\S125.dat
................\....\................\S131.dat
................\....\................\data.mat
................\....\................\labels.dat
................\....\subject1_walk
................\....\.............\S111.dat
................\....\.............\S112.dat
................\....\.............\S125.dat
................\....\.............\S131.dat
................\....\.............\data.mat
................\....\.............\labels.dat
................\....\subject2_gesture
................\....\................\S111.dat
................\....\................\S125.dat
................\....\................\S131.dat
................\....\................\data.mat
................\....\................\labels.dat
................\....\subject2_walk
................\....\.............\S111.dat
................\....\.............\S112.dat
................\....\.............\S125.dat
................\....\.............\S131.dat
................\....\.............\data.mat
................\....\.............\labels.dat
................\Evaluation
................\..........\areaROC.m
................\..........\avgprec.m
................\..........\evaluate.m
................\..........\evaluateDetection.m
................\..........\evaluation.m
................\..........\hitsEventCriterion.m
................\..........\hitsPascalCriterion.m
................\..........\mset.m
................\..........\mset_add.m
................\..........\mset_empty.m
................\..........\mset_metrics.m
................\..........\mset_segments.m
................\..........\plotConfusionMatrix.m
................\..........\plotEvaluationResults.m
................\..........\plotFeatureRanking.m
................\..........\plot_mset_errors.m
................\..........\plotmatAll.m
................\..........\pr_plot.m
................\..........\prepareEvaluationData.m
................\Experiments
................\...........\expClassifiers.m
................\...........\expDebug.m
................\...........\expEvalMethods.m
................\...........\expEvalSchemes.m
................\...........\expFeatures.m
................\...........\expFusion.m
................\...........\expHMM.m
................\...........\expJointBoosting_Rounds.m
................\...........\expKnn_k.m
................\...........\expNaiveBayes.m
................\...........\expOtherData.m
................\...........\expSVM.m
................\...........\expSensorPlacements.m
................\...........\expSensorTypes.m
................\...........\expStudy_1_1chain_wrist.m
................\...........\expStudy_1_2chain_alldata.m
................\...........\expStudy_2_1_1features.m
................\...........\expStudy_2_1features.m
................\...........\expStudy_2_2_1window.m
................\...........\expStudy_2_2window.m
................\...........\expStudy_2_3placements.m
................\...........\expStudy_2_4modality_pd.m
................\...........\expStudy_2_4modality_pi.m
................\...........\expStudy_3_1classifier.m
................\...........\expStudy_3classifier.m
................\...........\expStudy_4_1_1feature_selection.m
................\...........\expStudy_4_1_2_feature_selection_sweepset.m
................\...........\expStudy_4_1_3_feature_selection_classes.m
................\...........\expStudy_4_2_4_feature_selection.m
................\...........\expStudy_6_2adaption_classifier.m
................\....