Nonlinear supervised dimensionality reduction via smooth regular embeddings.
Cem OrnekElif VuralPublished in: Pattern Recognit. (2019)
Keyphrases
- supervised dimensionality reduction
- dimensionality reduction
- linear transformation
- least squares
- low dimensional
- lower dimensional
- dimensionality reduction methods
- high order
- pattern recognition
- manifold learning
- fisher discriminant analysis
- vector space
- kernel pca
- machine learning
- preprocessing step
- data points
- optical flow
- kernel trick
- high dimensional
- feature selection