GestureRecognitionToolkit
Version: 0.2.5
The Gesture Recognition Toolkit (GRT) is a cross-platform, open-source, c++ machine learning library for real-time gesture recognition.
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~AdaBoost() :
AdaBoost
~ANBC() :
ANBC
~BAG() :
BAG
~CircularBuffer() :
CircularBuffer< T >
~ClassificationData() :
ClassificationData
~ClassificationDataStream() :
ClassificationDataStream
~ClassificationResult() :
ClassificationResult
~Classifier() :
Classifier
~ClassLabelChangeFilter() :
ClassLabelChangeFilter
~ClassLabelFilter() :
ClassLabelFilter
~ClassLabelTimeoutFilter() :
ClassLabelTimeoutFilter
~Clusterer() :
Clusterer
~ClusterTree() :
ClusterTree
~ClusterTreeNode() :
ClusterTreeNode
~CommandLineParser() :
CommandLineParser
~DeadZone() :
DeadZone
~DecisionStump() :
DecisionStump
~DecisionTree() :
DecisionTree
~DecisionTreeClusterNode() :
DecisionTreeClusterNode
~DecisionTreeNode() :
DecisionTreeNode
~DecisionTreeThresholdNode() :
DecisionTreeThresholdNode
~DecisionTreeTripleFeatureNode() :
DecisionTreeTripleFeatureNode
~Derivative() :
Derivative
~Dict() :
Dict
~DoubleMovingAverageFilter() :
DoubleMovingAverageFilter
~DTW() :
DTW
~EnvelopeExtractor() :
EnvelopeExtractor
~EvolutionaryAlgorithm() :
EvolutionaryAlgorithm< INDIVIDUAL >
~FeatureExtraction() :
FeatureExtraction
~FFT() :
FFT
~FFTFeatures() :
FFTFeatures
~FiniteStateMachine() :
FiniteStateMachine
~FIRFilter() :
FIRFilter
~Gate() :
Gate
~GaussianMixtureModels() :
GaussianMixtureModels
~GestureRecognitionPipeline() :
GestureRecognitionPipeline
~GMM() :
GMM
~GRTBase() :
GRTBase
~HierarchicalClustering() :
HierarchicalClustering
~HighPassFilter() :
HighPassFilter
~HMM() :
HMM
~KMeans() :
KMeans
~KMeansFeatures() :
KMeansFeatures
~KMeansQuantizer() :
KMeansQuantizer
~KNN() :
KNN
~LeakyIntegrator() :
LeakyIntegrator
~LinearRegression() :
LinearRegression
~LogisticRegression() :
LogisticRegression
~LowPassFilter() :
LowPassFilter
~Matrix() :
Matrix< T >
~MatrixFloat() :
MatrixFloat
~MedianFilter() :
MedianFilter
~Metrics() :
Metrics
~MinDist() :
MinDist
~MinDistModel() :
MinDistModel
~MLBase() :
MLBase
~MLP() :
MLP
~MovementIndex() :
MovementIndex
~MovementTrajectoryFeatures() :
MovementTrajectoryFeatures
~MovingAverageFilter() :
MovingAverageFilter
~MultidimensionalRegression() :
MultidimensionalRegression
~Node() :
Node
~ParticleClassifier() :
ParticleClassifier
~ParticleFilter() :
ParticleFilter< PARTICLE, SENSOR_DATA >
~ParticleSwarmOptimization() :
ParticleSwarmOptimization< PARTICLE_TYPE, OBSERVATION_TYPE >
~PostProcessing() :
PostProcessing
~PreProcessing() :
PreProcessing
~PrincipalComponentAnalysis() :
PrincipalComponentAnalysis
~PSOParticle() :
PSOParticle< OBSERVATION_TYPE >
~RadialBasisFunction() :
RadialBasisFunction
~Random() :
Random
~RandomForests() :
RandomForests
~RangeTracker() :
RangeTracker
~RBMQuantizer() :
RBMQuantizer
~Regressifier() :
Regressifier
~RegressionData() :
RegressionData
~RegressionTree() :
RegressionTree
~RegressionTreeNode() :
RegressionTreeNode
~RMSFilter() :
RMSFilter
~SavitzkyGolayFilter() :
SavitzkyGolayFilter
~SelfOrganizingMap() :
SelfOrganizingMap
~Softmax() :
Softmax
~SOMQuantizer() :
SOMQuantizer
~SVM() :
SVM
~SwipeDetector() :
SwipeDetector
~TestInstanceResult() :
TestInstanceResult
~TestResult() :
TestResult
~ThreadPool() :
ThreadPool
~ThresholdCrossingDetector() :
ThresholdCrossingDetector
~TimeDomainFeatures() :
TimeDomainFeatures
~Timer() :
Timer
~TimeseriesBuffer() :
TimeseriesBuffer
~TimeSeriesClassificationData() :
TimeSeriesClassificationData
~TimeSeriesClassificationSampleTrimmer() :
TimeSeriesClassificationSampleTrimmer
~TimeSeriesPositionTracker() :
TimeSeriesPositionTracker
~TrainingDataRecordingTimer() :
TrainingDataRecordingTimer
~TrainingResult() :
TrainingResult
~Tree() :
Tree
~UnlabelledData() :
UnlabelledData
~Util() :
Util
~Vector() :
Vector< T >
~VectorFloat() :
VectorFloat
~WeakClassifier() :
WeakClassifier
~WeightedAverageFilter() :
WeightedAverageFilter
~ZeroCrossingCounter() :
ZeroCrossingCounter
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