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:
- n -
nchg :
GRT::KMeans
Node() :
GRT::Node
normal() :
GRT::PSOParticle< OBSERVATION_TYPE >
normalize() :
GRT::Util
normalizeWeights() :
GRT::ParticleFilter< PARTICLE, SENSOR_DATA >
normWeights :
GRT::ParticleFilter< PARTICLE, SENSOR_DATA >
notifyTestResultsObservers() :
GRT::MLBase
notifyTrainingResultsObservers() :
GRT::MLBase
numClusters :
GRT::Clusterer
numDimensions :
GRT::TimeSeriesClassificationData
,
GRT::TimeSeriesClassificationDataStream
numInputDimensions :
GRT::WeakClassifier
numParticles :
GRT::ParticleFilter< PARTICLE, SENSOR_DATA >
numRandomSplits :
GRT::DecisionStump
numStates :
GRT::ContinuousHiddenMarkovModel
numTrainingSamples :
GRT::GaussianMixtureModels
,
GRT::KMeans
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