F-transform and Dimensionality Reduction: Common and Different.
Jirí JanecekIrina PerfilievaPublished in: AGOP (2019)
Keyphrases
- dimensionality reduction
- high dimensional data
- high dimensionality
- principal component analysis
- pattern recognition
- data representation
- low dimensional
- high dimensional
- feature extraction
- structure preserving
- euclidean distance
- data points
- feature selection
- dimension reduction
- manifold learning
- random projections
- lower dimensional
- preprocessing step
- database
- pattern recognition and machine learning
- linear discriminant analysis
- computer vision
- input space
- pairwise
- multiscale
- principal components analysis
- nonlinear dimensionality reduction
- linear dimensionality reduction
- real time