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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Here is a list of all documented class members with links to the class documentation for each member:
- n -
nchg :
KMeans
Node() :
Node
normal() :
PSOParticle< OBSERVATION_TYPE >
normalize() :
Util
normalizeWeights() :
ParticleFilter< PARTICLE, SENSOR_DATA >
normWeights :
ParticleFilter< PARTICLE, SENSOR_DATA >
notifyTestResultsObservers() :
MLBase
notifyTrainingResultsObservers() :
MLBase
numClusters :
Clusterer
numDimensions :
ClassificationDataStream
,
TimeSeriesClassificationData
numInputDimensions :
WeakClassifier
numParticles :
ParticleFilter< PARTICLE, SENSOR_DATA >
numRandomSplits :
DecisionStump
numRestarts :
GaussianMixtureModels
numStates :
ContinuousHiddenMarkovModel
numTrainingSamples :
GaussianMixtureModels
,
KMeans
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