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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Here is a list of all documented class members with links to the class documentation for each member:
- m -
manhattanDistance() :
GRT::Util
map() :
GRT::GestureRecognitionPipeline
,
GRT::MLBase
map_() :
GRT::MLBase
,
GRT::SelfOrganizingMap
Matrix() :
GRT::Matrix< T >
MatrixDouble() :
GRT::MatrixDouble
maxKSearchValue :
GRT::KNN
measurementNoise :
GRT::ParticleFilter< PARTICLE, SENSOR_DATA >
MedianFilter() :
GRT::MedianFilter
merge() :
GRT::ClassificationData
,
GRT::RegressionData
,
GRT::TimeSeriesClassificationData
,
GRT::UnlabelledData
MinDist() :
GRT::MinDist
MinDistModel() :
GRT::MinDistModel
minimumCount :
GRT::ClassLabelFilter
minimumWeightThreshold :
GRT::ParticleFilter< PARTICLE, SENSOR_DATA >
minKSearchValue :
GRT::KNN
minRMSErrorPerNode :
GRT::RegressionTree
MLBase() :
GRT::MLBase
MLP() :
GRT::MLP
modelType :
GRT::ContinuousHiddenMarkovModel
MovementIndex() :
GRT::MovementIndex
MovementTrajectoryFeatures() :
GRT::MovementTrajectoryFeatures
MovingAverageFilter() :
GRT::MovingAverageFilter
mu :
GRT::GaussianMixtureModels
MultidimensionalRegression() :
GRT::MultidimensionalRegression
multiple() :
GRT::MatrixDouble
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