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.
GRT::MixtureModel Class Reference

Public Member Functions

GuassModeloperator[] (const UINT i)
 
const GuassModeloperator[] (const UINT i) const
 
double computeMixtureLikelihood (const vector< double > &x)
 
bool resize (UINT K)
 
bool recomputeNullRejectionThreshold (double gamma)
 
bool recomputeNormalizationFactor ()
 
bool printModelValues () const
 
UINT getK () const
 
UINT getClassLabel () const
 
double getTrainingMu () const
 
double getTrainingSigma () const
 
double getNullRejectionThreshold () const
 
double getNormalizationFactor () const
 
bool setClassLabel (const UINT classLabel)
 
bool setNormalizationFactor (const double normFactor)
 
bool setTrainingMuAndSigma (const double trainingMu, const double trainingSigma)
 
bool setNullRejectionThreshold (const double nullRejectionThreshold)
 

Detailed Description

Definition at line 82 of file MixtureModel.h.


The documentation for this class was generated from the following file: