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.
MultidimensionalRegression.h File Reference

This class implements the Multidimensional Regression meta algorithm. Multidimensional Regressionacts as a meta-algorithm for regression that allows several one-dimensional regression algorithms (such as Linear Regression), to be combined together to allow an M-dimensional signal to be mapped to an N-dimensional signal. This works by training N seperate regression algorithms (one for each dimension), each with an M-dimensional input. More...

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Classes

class  MultidimensionalRegression
 

Detailed Description

This class implements the Multidimensional Regression meta algorithm. Multidimensional Regressionacts as a meta-algorithm for regression that allows several one-dimensional regression algorithms (such as Linear Regression), to be combined together to allow an M-dimensional signal to be mapped to an N-dimensional signal. This works by training N seperate regression algorithms (one for each dimension), each with an M-dimensional input.

Author
Nicholas Gillian ngill.nosp@m.ian@.nosp@m.media.nosp@m..mit.nosp@m..edu
Version
1.0

In addition to enabling one-dimensional regression algorithms (such as Linear Regression) to be used for mapping N-dimensional output signals, Multidimensional Regression can also be useful for multi-dimensional regression algorithms (such as Multi Layer Perceptrons), as it enables you to train N seperate MLP algorithms (one for each output signal), which might provide better mapping results than trying to train one MLP algorithm that can successfully map all N-dimensions at once.

Definition in file MultidimensionalRegression.h.