Subspace Embeddings under Nonlinear Transformations.
Aarshvi GajjarCameron MuscoPublished in: ALT (2021)
Keyphrases
- low dimensional
- kernel based nonlinear
- dimensionality reduction
- high dimensional data
- hilbert space
- high dimensional
- kernel pca
- feature space
- linear dimensionality reduction
- manifold embedding
- subspace learning
- high dimensional feature space
- manifold learning
- euclidean space
- complementarity problems
- linear combination
- linear subspace
- lower dimensional
- linear discriminant analysis
- subspace clustering
- neural network
- vector space
- principal component analysis
- data points
- data analysis
- feature extraction
- image sequences
- image processing