DRIPS: A framework for dimension reduction and interpolation in parameter space.
Hannah LuDaniel M. TartakovskyPublished in: J. Comput. Phys. (2023)
Keyphrases
- neural network
- dimension reduction
- parameter space
- high dimensional
- pattern recognition
- high dimensional problems
- manifold embedding
- high dimensional data analysis
- high dimensionality
- linear discriminant analysis
- principal component analysis
- high dimensional data
- input image
- probabilistic model
- training data
- random projections
- feature extraction
- learning algorithm
- data sets