GestureRecognitionToolkit
Version: 0.1.0
The Gesture Recognition Toolkit (GRT) is a cross-platform, open-source, c++ machine learning library for real-time gesture recognition.
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parse() :
CommandLineParser
parseDirectory() :
Util
ParticleClassifier() :
ParticleClassifier
ParticleFilter() :
ParticleFilter< PARTICLE, SENSOR_DATA >
ParticleSwarmOptimization() :
ParticleSwarmOptimization< PARTICLE_TYPE, OBSERVATION_TYPE >
partition() :
ClassificationData
,
RegressionData
,
TimeSeriesClassificationData
,
UnlabelledData
polarToCart() :
Util
postFilterUpdate() :
ParticleClassifierParticleFilter
,
ParticleFilter< PARTICLE, SENSOR_DATA >
PostProcessing() :
PostProcessing
predict() :
ClusterTreeNode
,
DecisionStump
,
DecisionTreeClusterNode
,
DecisionTreeNode
,
DecisionTreeThresholdNode
,
DecisionTreeTripleFeatureNode
,
FSMParticleFilter
,
GestureRecognitionPipeline
,
LDA
,
MLBase
,
Node
,
ParticleClassifierParticleFilter
,
ParticleFilter< PARTICLE, SENSOR_DATA >
,
RadialBasisFunction
,
RegressionTreeNode
,
WeakClassifier
predict_() :
AdaBoost
,
ANBC
,
BAG
,
BernoulliRBM
,
ClusterTree
,
ContinuousHiddenMarkovModel
,
DecisionTree
,
DTW
,
FiniteStateMachine
,
GaussianMixtureModels
,
GMM
,
HMM
,
KMeans
,
KNN
,
LinearRegression
,
LogisticRegression
,
MinDist
,
MLBase
,
MLP
,
MovementDetector
,
MultidimensionalRegression
,
ParticleClassifier
,
RandomForests
,
RegressionTree
,
Softmax
,
SVM
,
SwipeDetector
preFilterUpdate() :
ParticleClassifierParticleFilter
,
ParticleFilter< PARTICLE, SENSOR_DATA >
preProcessData() :
GestureRecognitionPipeline
PreProcessing() :
PreProcessing
PrincipalComponentAnalysis() :
PrincipalComponentAnalysis
print() :
BernoulliRBM
,
ClusterTree
,
ClusterTreeNode
,
ContinuousHiddenMarkovModel
,
DecisionStump
,
DecisionTreeClusterNode
,
DecisionTreeThresholdNode
,
DecisionTreeTripleFeatureNode
,
DiscreteHiddenMarkovModel
,
FiniteStateMachine
,
HMM
,
MatrixFloat
,
MLBase
,
MLP
,
Node
,
PrincipalComponentAnalysis
,
RadialBasisFunction
,
RandomForests
,
RegressionTree
,
RegressionTreeNode
,
Tree
,
VectorFloat
,
WeakClassifier
printModel() :
AdaBoost
printNetwork() :
MLP
printStats() :
ClassificationData
,
ClassificationDataStream
,
TimeSeriesClassificationData
process() :
ClassLabelChangeFilter
,
ClassLabelFilter
,
ClassLabelTimeoutFilter
,
DeadZone
,
Derivative
,
DoubleMovingAverageFilter
,
FIRFilter
,
HighPassFilter
,
LeakyIntegrator
,
LowPassFilter
,
MedianFilter
,
MovingAverageFilter
,
PostProcessing
,
PreProcessing
,
SavitzkyGolayFilter
,
WeightedAverageFilter
project() :
PrincipalComponentAnalysis
propagate() :
PSOParticle< OBSERVATION_TYPE >
PSOParticle() :
PSOParticle< OBSERVATION_TYPE >
push_back() :
CircularBuffer< T >
,
Matrix< T >
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