Stochastic simulation of patterns using ISOMAP for dimensionality reduction of training images.
Ting ZhangYi DuTao HuangJiaqing YangXue LiPublished in: Comput. Geosci. (2015)
Keyphrases
- dimensionality reduction
- stochastic simulation
- nonlinear dimensionality reduction
- manifold learning
- linear dimensionality reduction
- principal component analysis
- low dimensional
- high dimensional
- locally linear embedding
- dimension reduction
- high dimensionality
- high dimensional data
- belief networks
- pattern recognition
- feature extraction
- linear discriminant analysis
- bayesian analysis
- dimensionality reduction methods
- multidimensional scaling
- feature selection
- simple examples
- graphical models
- data points
- artificial neural networks
- feature space
- data sets
- multiscale