Joint Dimensionality Reduction for Separable Embedding Estimation.
Yanjun LiBihan WenHao ChengYoram BreslerPublished in: CoRR (2021)
Keyphrases
- dimensionality reduction
- nonlinear dimensionality reduction
- structure preserving
- intrinsic dimensionality
- graph embedding
- pattern recognition
- high dimensional
- principal component analysis
- multidimensional scaling
- data representation
- embedding space
- high dimensional data
- manifold learning
- feature extraction
- locality preserving projections
- laplacian eigenmaps
- pattern recognition and machine learning
- estimation algorithm
- data points
- linear discriminant analysis
- parameter estimation
- machine learning
- computer vision
- joint estimation
- low dimensional
- input space
- robust estimation
- vector space
- kernel learning
- high dimensional spaces
- estimation accuracy
- image processing
- feature selection
- subspace learning
- linear dimensionality reduction
- high dimensionality