An application of generalized matrix learning vector quantization in neuroimaging.
Rick van VeenVita GurvitsRosalie V. KoganSanne K. MelesGert-Jan de VriesRemco J. RenkenMaria C. Rodriguez-OrozRafael Rodriguez-RojasDario ArnaldiStefano RaffaBauke M. de JongKlaus Leonard LeendersMichael BiehlPublished in: Comput. Methods Programs Biomed. (2020)
Keyphrases
- learning vector quantization
- self organizing maps
- neural network
- bankruptcy prediction
- human brain
- eigenvalue problems
- eigenvalue decomposition
- structured sparse learning
- coefficient matrix
- missing data
- low rank
- medical images
- rough approximations
- probabilistic model
- high dimensional
- object recognition
- pattern recognition
- training data