Garland's Technique for Posets and High Dimensional Grassmannian Expanders.
Tali KaufmanRan J. TesslerPublished in: ITCS (2023)
Keyphrases
- high dimensional
- dimensionality reduction
- subspace learning
- low dimensional
- high dimensionality
- variable selection
- data points
- nearest neighbor
- high dimensional data
- partially ordered sets
- multi modal
- similarity search
- microarray data
- high dimensional problems
- sparse data
- multi dimensional
- noisy data
- metric space
- kernel function
- data sets
- high dimensional spaces
- manifold learning
- input space
- gene expression data
- dimensional data
- dimension reduction
- lower bound
- genetic algorithm