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::ANBC_Model Member List

This is the complete list of members for GRT::ANBC_Model, including all inherited members.

ANBC_Model(void) (defined in GRT::ANBC_Model)GRT::ANBC_Modelinline
classLabel (defined in GRT::ANBC_Model)GRT::ANBC_Model
gamma (defined in GRT::ANBC_Model)GRT::ANBC_Model
gauss(const double x, const double mu, const double sigma) (defined in GRT::ANBC_Model)GRT::ANBC_Modelinline
mu (defined in GRT::ANBC_Model)GRT::ANBC_Model
N (defined in GRT::ANBC_Model)GRT::ANBC_Model
predict(const VectorDouble &observation) (defined in GRT::ANBC_Model)GRT::ANBC_Model
predictUnnormed(const VectorDouble &x) (defined in GRT::ANBC_Model)GRT::ANBC_Model
recomputeThresholdValue(const double gamma) (defined in GRT::ANBC_Model)GRT::ANBC_Model
sigma (defined in GRT::ANBC_Model)GRT::ANBC_Model
SQR(double x) (defined in GRT::ANBC_Model)GRT::ANBC_Modelinline
threshold (defined in GRT::ANBC_Model)GRT::ANBC_Model
train(UINT classLabel, MatrixDouble &trainingData, VectorDouble &weightsVector) (defined in GRT::ANBC_Model)GRT::ANBC_Model
trainingMu (defined in GRT::ANBC_Model)GRT::ANBC_Model
trainingSigma (defined in GRT::ANBC_Model)GRT::ANBC_Model
unnormedGauss(const double x, const double mu, const double sigma) (defined in GRT::ANBC_Model)GRT::ANBC_Modelinline
weights (defined in GRT::ANBC_Model)GRT::ANBC_Model
~ANBC_Model(void) (defined in GRT::ANBC_Model)GRT::ANBC_Modelinline