GestureRecognitionToolkit
Version: 0.2.5
The Gesture Recognition Toolkit (GRT) is a cross-platform, open-source, c++ machine learning library for real-time gesture recognition.
|
This is the complete list of members for ANBC_Model, including all inherited members.
ANBC_Model(void) (defined in ANBC_Model) | ANBC_Model | inline |
classLabel (defined in ANBC_Model) | ANBC_Model | |
gamma (defined in ANBC_Model) | ANBC_Model | |
gauss(const Float x, const Float mu, const Float sigma) (defined in ANBC_Model) | ANBC_Model | inline |
mu (defined in ANBC_Model) | ANBC_Model | |
N (defined in ANBC_Model) | ANBC_Model | |
predict(const VectorFloat &x) (defined in ANBC_Model) | ANBC_Model | |
predictUnnormed(const VectorFloat &x) (defined in ANBC_Model) | ANBC_Model | |
recomputeThresholdValue(const Float gamma) (defined in ANBC_Model) | ANBC_Model | |
sigma (defined in ANBC_Model) | ANBC_Model | |
threshold (defined in ANBC_Model) | ANBC_Model | |
train(const UINT classLabel, const MatrixDouble &trainingData, const VectorFloat &weightsVector) (defined in ANBC_Model) | ANBC_Model | |
trainingMu (defined in ANBC_Model) | ANBC_Model | |
trainingSigma (defined in ANBC_Model) | ANBC_Model | |
unnormedGauss(const Float x, const Float mu, const Float sigma) (defined in ANBC_Model) | ANBC_Model | inline |
weights (defined in ANBC_Model) | ANBC_Model | |
~ANBC_Model(void) (defined in ANBC_Model) | ANBC_Model | inline |