Difference between revisions of "MnM"

Revision as of 15:11, 10 December 2006

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 == Mapping is not Music ==
-[[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.
+{{:MnM Introduction}}
-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 [[Download | FTM distributions]].