GestureRecognitionToolkit  Version: 0.2.0
The Gesture Recognition Toolkit (GRT) is a cross-platform, open-source, c++ machine learning library for real-time gesture recognition.
MixtureModel Member List

This is the complete list of members for MixtureModel, including all inherited members.

computeMixtureLikelihood(const VectorFloat &x) (defined in MixtureModel)MixtureModelinline
getClassLabel() const (defined in MixtureModel)MixtureModelinline
getK() const (defined in MixtureModel)MixtureModelinline
getNormalizationFactor() const (defined in MixtureModel)MixtureModelinline
getNullRejectionThreshold() const (defined in MixtureModel)MixtureModelinline
getTrainingMu() const (defined in MixtureModel)MixtureModelinline
getTrainingSigma() const (defined in MixtureModel)MixtureModelinline
MixtureModel() (defined in MixtureModel)MixtureModelinline
operator[](const UINT i) (defined in MixtureModel)MixtureModelinline
operator[](const UINT i) const (defined in MixtureModel)MixtureModelinline
printModelValues() const (defined in MixtureModel)MixtureModelinline
recomputeNormalizationFactor() (defined in MixtureModel)MixtureModelinline
recomputeNullRejectionThreshold(Float gamma) (defined in MixtureModel)MixtureModelinline
resize(UINT K) (defined in MixtureModel)MixtureModelinline
setClassLabel(const UINT classLabel) (defined in MixtureModel)MixtureModelinline
setNormalizationFactor(const Float normFactor) (defined in MixtureModel)MixtureModelinline
setNullRejectionThreshold(const Float nullRejectionThreshold) (defined in MixtureModel)MixtureModelinline
setTrainingMuAndSigma(const Float trainingMu, const Float trainingSigma) (defined in MixtureModel)MixtureModelinline
~MixtureModel() (defined in MixtureModel)MixtureModelinline