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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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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_Model | inline |
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_Model | inline |
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_Model | inline |
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_Model | inline |
weights (defined in GRT::ANBC_Model) | GRT::ANBC_Model | |
~ANBC_Model(void) (defined in GRT::ANBC_Model) | GRT::ANBC_Model | inline |