From ftm
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== Publications == | == Publications == | ||
| − | [http://recherche.ircam.fr/equipes/temps-reel/articles/mnm.nime05.pdf download PDF of NIME 2005 paper on MnM] | + | [http://recherche.ircam.fr/equipes/temps-reel/articles/mnm.nime05.pdf |
| + | download PDF of NIME 2005 paper on MnM] | ||
---- | ---- | ||
| − | The [[MnM]] | + | The [[MnM]] package is released within the [[FTM]] distribution.. |
Revision as of 18:22, 1 December 2006
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.
Features
- 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)
Publications
[http://recherche.ircam.fr/equipes/temps-reel/articles/mnm.nime05.pdf download PDF of NIME 2005 paper on MnM]
The MnM package is released within the FTM distribution..