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On Fast Johnson-Lindenstrauss Embeddings of Compact Submanifolds of $\mathbbm {R}^N$ with Boundary.
Mark A. Iwen
Benjamin Schmidt
Arman Tavakoli
Published in:
Discret. Comput. Geom. (2024)
Keyphrases
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johnson lindenstrauss
low dimensional
high dimensional
binary codes
manifold learning
dimensionality reduction
high dimensional data
vector space
data points
object boundaries
euclidean space
principal component analysis
linear subspace
nearest neighbor
shape description
subspace learning
hilbert space