GestureRecognitionToolkit
Version: 0.1.0
The Gesture Recognition Toolkit (GRT) is a cross-platform, open-source, c++ machine learning library for real-time gesture recognition.
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Files | |
file | DecisionTree.cpp [code] |
file | DecisionTree.h [code] |
This class implements a basic Decision Tree classifier. Decision Trees are conceptually simple classifiers that work well on even complex classification tasks. Decision Trees partition the feature space into a set of rectangular regions, classifying a new datum by finding which region it belongs to. | |
file | DecisionTreeClusterNode.cpp [code] |
file | DecisionTreeClusterNode.h [code] |
This file implements a DecisionTreeClusterNode, which is a specific type of node used for a DecisionTree. | |
file | DecisionTreeNode.cpp [code] |
file | DecisionTreeNode.h [code] |
This file implements a DecisionTreeNode, which is a specific base node used for a DecisionTree. | |
file | DecisionTreeThresholdNode.cpp [code] |
file | DecisionTreeThresholdNode.h [code] |
This file implements a DecisionTreeThresholdNode, which is a specific type of node used for a DecisionTree. | |
file | DecisionTreeTripleFeatureNode.cpp [code] |
file | DecisionTreeTripleFeatureNode.h [code] |
This file implements a DecisionTreeTripleFeatureNode, which is a specific type of node used for a DecisionTree. | |