On low-dimensional faces that high-dimensional polytopes must have.
Gil KalaiPublished in: Comb. (1990)
Keyphrases
- low dimensional
- high dimensional
- high dimensional data
- manifold learning
- euclidean space
- feature space
- data points
- dimensionality reduction
- principal component analysis
- dimension reduction
- human faces
- input space
- high dimensionality
- convex hull
- high dimensional data space
- multi dimensional
- face recognition
- vector space
- face images
- nonlinear dimensionality reduction
- multidimensional scaling
- high dimensional spaces
- linear subspace
- lower dimensional
- higher dimensional
- similarity search
- line drawings
- graph embedding
- nearest neighbor
- sparse coding
- neural network
- high dimension
- facial features
- lattice points
- face identification
- manifold structure
- packing problem
- microarray
- machine learning