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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DeadZone() :
DeadZone
DecisionStump() :
DecisionStump
DecisionTree() :
DecisionTree
DecisionTreeClusterNode() :
DecisionTreeClusterNode
DecisionTreeNode() :
DecisionTreeNode
DecisionTreeThresholdNode() :
DecisionTreeThresholdNode
DecisionTreeTripleFeatureNode() :
DecisionTreeTripleFeatureNode
deepCopy() :
Classifier
,
Clusterer
,
ClusterTreeNode
,
DecisionTreeClusterNode
,
DecisionTreeNode
,
DecisionTreeThresholdNode
,
DecisionTreeTripleFeatureNode
,
Node
,
Regressifier
,
RegressionTreeNode
deepCopyDecisionTreeNode() :
DecisionTree
,
RandomForests
deepCopyFrom() :
AdaBoost
,
ANBC
,
BAG
,
Classifier
,
ClassLabelChangeFilter
,
ClassLabelFilter
,
ClassLabelTimeoutFilter
,
Clusterer
,
ClusterTree
,
DeadZone
,
DecisionStump
,
DecisionTree
,
Derivative
,
DoubleMovingAverageFilter
,
DTW
,
EnvelopeExtractor
,
FeatureExtraction
,
FFT
,
FFTFeatures
,
FiniteStateMachine
,
FIRFilter
,
Gate
,
GaussianMixtureModels
,
GMM
,
HierarchicalClustering
,
HighPassFilter
,
HMM
,
KMeans
,
KMeansFeatures
,
KMeansQuantizer
,
KNN
,
LeakyIntegrator
,
LinearRegression
,
LogisticRegression
,
LowPassFilter
,
MedianFilter
,
MinDist
,
MLP
,
MovementIndex
,
MovementTrajectoryFeatures
,
MovingAverageFilter
,
MultidimensionalRegression
,
ParticleClassifier
,
PostProcessing
,
PreProcessing
,
RadialBasisFunction
,
RandomForests
,
RBMQuantizer
,
Regressifier
,
RegressionTree
,
RMSFilter
,
SavitzkyGolayFilter
,
SelfOrganizingMap
,
Softmax
,
SOMQuantizer
,
SVM
,
SwipeDetector
,
TimeDomainFeatures
,
TimeseriesBuffer
,
WeakClassifier
,
WeightedAverageFilter
,
ZeroCrossingCounter
deepCopyTree() :
ClusterTree
,
DecisionTree
,
RegressionTree
,
Tree
Derivative() :
Derivative
Dict() :
Dict
dotProduct() :
Util
DoubleMovingAverageFilter() :
DoubleMovingAverageFilter
DTW() :
DTW
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