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'''''Mapping is not Music'''''
 
'''''Mapping is not Music'''''
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[[MnM]] is a set of Max/MSP externals based on [[FTM]] providing a unified framework for various techniques of classification, recognition and mapping for motion capture data, sound and music.
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[[MnM]] is a set of Max/MSP externals based on [[FTM | FTMlib]] providing a unified framework for various techniques of classification, recognition and mapping for motion capture data, sound and music.
  
 
Features currently implemented in MnM include:
 
Features currently implemented in MnM include:
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* Multi-dimensioannal autocorrelation
 
* Multi-dimensioannal autocorrelation
 
* Matrix/Vector Statistics (min, max, mean, std, histogram, mahalanobis distance)
 
* Matrix/Vector Statistics (min, max, mean, std, histogram, mahalanobis distance)
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The MnM package is released within the [[Download | FTM distributions]].
  
  

Revision as of 15:20, 9 December 2006

Mapping is not Music


MnM is a set of Max/MSP externals based on FTMlib providing a unified framework for various techniques of classification, recognition and mapping for motion capture data, sound and music.

Features currently implemented in MnM include:

  • Hidden Markov Models
  • Principal Components Analysis
  • Singular Value Decomposition, LU and QR decompositions
  • Non-negative Matrix Factorization and sparse decomposition
  • multi-dimensionnal M to N mapping based on examples
  • Multi-dimensioannal autocorrelation
  • Matrix/Vector Statistics (min, max, mean, std, histogram, mahalanobis distance)

The MnM package is released within the FTM distributions.



Publications