From ftm
Remymuller (talk | contribs) (→features) |
Remymuller (talk | contribs) (→features) |
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* Hidden Markov Models | * Hidden Markov Models | ||
* Principal Components Analysis | * Principal Components Analysis | ||
| − | * Singular Value Decomposition | + | * Singular Value Decomposition, LU and QR decompositions |
* Non-negative Matrix Factorization and sparse decomposition | * Non-negative Matrix Factorization and sparse decomposition | ||
* multi-dimensionnal M to N mapping based on examples | * multi-dimensionnal M to N mapping based on examples | ||
Revision as of 19:46, 22 November 2006
Mapping is Not Music
about
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)
papers
download PDF of NIME 2005 paper on MnM
The MnM object set is released within the FTM distribution..