GestureRecognitionToolkit
Version: 1.0 Revision: 04-03-15
The Gesture Recognition Toolkit (GRT) is a cross-platform, open-source, c++ machine learning library for real-time gesture recognition.
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enableAutoGamma() :
GRT::SVM
enableBestKValueSearch() :
GRT::KNN
enableCrossValidationTraining() :
GRT::SVM
enableExternalRangeScaling() :
GRT::ClassificationData
,
GRT::RegressionData
,
GRT::TimeSeriesClassificationData
,
GRT::TimeSeriesClassificationDataStream
,
GRT::UnlabelledData
enableFiltering() :
GRT::Derivative
enableNullRejection() :
GRT::Classifier
enableScaling() :
GRT::MLBase
enableTracking() :
GRT::RangeTracker
enableTrimTrainingData() :
GRT::DTW
enableZNormalization() :
GRT::DTW
eraseAllSamplesWithClassLabel() :
GRT::ClassificationData
,
GRT::TimeSeriesClassificationData
,
GRT::TimeSeriesClassificationDataStream
estimatePopulationFitness() :
GRT::EvolutionaryAlgorithm< INDIVIDUAL >
euclideanDistance() :
GRT::Util
evaluate() :
GRT::PSOParticle< OBSERVATION_TYPE >
evaluateFitness() :
GRT::EvolutionaryAlgorithm< INDIVIDUAL >
EvolutionaryAlgorithm() :
GRT::EvolutionaryAlgorithm< INDIVIDUAL >
evolvePopulation() :
GRT::EvolutionaryAlgorithm< INDIVIDUAL >
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