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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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Public Member Functions | |
GuassModel & | operator[] (const UINT i) |
const GuassModel & | operator[] (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) |
Definition at line 82 of file MixtureModel.h.