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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cartToPolar() :
Util
cdiv() :
EigenvalueDecomposition
checkForNAN() :
MLP
checkForResample() :
ParticleFilter< PARTICLE, SENSOR_DATA >
CircularBuffer() :
CircularBuffer< T >
ClassificationData() :
ClassificationData
ClassificationDataStream() :
ClassificationDataStream
ClassificationResult() :
ClassificationResult
Classifier() :
Classifier
ClassLabelChangeFilter() :
ClassLabelChangeFilter
ClassLabelFilter() :
ClassLabelFilter
ClassLabelTimeoutFilter() :
ClassLabelTimeoutFilter
clear() :
AdaBoost
,
ANBC
,
BAG
,
BernoulliRBM
,
CircularBuffer< T >
,
ClassificationData
,
ClassificationDataStream
,
Classifier
,
Clusterer
,
ClusterTree
,
ClusterTreeNode
,
ContinuousHiddenMarkovModel
,
DecisionTree
,
DecisionTreeClusterNode
,
DecisionTreeNode
,
DecisionTreeThresholdNode
,
DecisionTreeTripleFeatureNode
,
Dict
,
DTW
,
FeatureExtraction
,
FFT
,
FiniteStateMachine
,
FIRFilter
,
GaussianMixtureModels
,
GestureRecognitionPipeline
,
GMM
,
HierarchicalClustering
,
HMM
,
KMeans
,
KMeansQuantizer
,
KNN
,
LinearLeastSquares
,
Matrix< T >
,
MinDist
,
MLBase
,
MLP
,
MovementDetector
,
Node
,
ParticleClassifier
,
ParticleClassifierParticleFilter
,
ParticleFilter< PARTICLE, SENSOR_DATA >
,
PreProcessing
,
RandomForests
,
RangeTracker
,
RBMQuantizer
,
Regressifier
,
RegressionData
,
RegressionTree
,
RegressionTreeNode
,
SelfOrganizingMap
,
Softmax
,
SOMQuantizer
,
SVM
,
SwipeDetector
,
TimeSeriesClassificationData
,
Tree
,
UnlabelledData
clearEnsemble() :
BAG
clearModel() :
GestureRecognitionPipeline
clearTestResults() :
GestureRecognitionPipeline
clearWeakClassifiers() :
AdaBoost
clearWeights() :
ANBC
Clusterer() :
Clusterer
ClusterTree() :
ClusterTree
ClusterTreeNode() :
ClusterTreeNode
combineModels() :
RandomForests
CommandLineParser() :
CommandLineParser
computeAccuracy() :
Classifier
,
Metrics
computeBestSplit() :
DecisionTreeNode
computeDerivative() :
Derivative
computeEstimate() :
ParticleFilter< PARTICLE, SENSOR_DATA >
computeFeatures() :
EnvelopeExtractor
,
FeatureExtraction
,
FFT
,
FFTFeatures
,
KMeansFeatures
,
KMeansQuantizer
,
MovementIndex
,
MovementTrajectoryFeatures
,
RBMQuantizer
,
SOMQuantizer
,
TimeDomainFeatures
,
TimeseriesBuffer
,
ZeroCrossingCounter
computeFeatureVector() :
PrincipalComponentAnalysis
computeFeatureWeights() :
DecisionTreeClusterNode
,
Node
computeLeafNodeWeights() :
DecisionTreeClusterNode
,
Node
copy() :
Matrix< T >
,
Vector< T >
copyBaseVariables() :
Classifier
,
Clusterer
,
FeatureExtraction
,
PostProcessing
,
PreProcessing
,
Regressifier
,
WeakClassifier
copyGRTBaseVariables() :
GRTBase
copyMLBaseVariables() :
MLBase
cosineDistance() :
Util
create() :
Classifier
,
Clusterer
,
Context
,
FeatureExtraction
,
PostProcessing
,
PreProcessing
,
Regressifier
createInstanceFromString() :
Node
,
WeakClassifier
createNewInstance() :
Node
,
WeakClassifier
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