Deep Variational Sufficient Dimensionality Reduction.
Ershad BanijamaliAmir-Hossein KarimiAli GhodsiPublished in: CoRR (2018)
Keyphrases
- dimensionality reduction
- high dimensional
- feature extraction
- pattern recognition
- data representation
- high dimensionality
- high dimensional data
- random projections
- optical flow
- principal component analysis
- low dimensional
- pattern recognition and machine learning
- manifold learning
- principal components
- feature space
- feature selection
- linear discriminant analysis
- unsupervised learning
- lower dimensional
- kernel learning
- variational framework
- nonlinear dimensionality reduction
- structure preserving
- data mining
- data points
- input space
- image processing
- variational methods
- linear dimensionality reduction
- linear projection