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Lossless Dimension Expanders via Linearized Polynomials and Subspace Designs.
Venkatesan Guruswami
Nicolas Resch
Chaoping Xing
Published in:
Computational Complexity Conference (2018)
Keyphrases
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low dimensional
principal component analysis
image compression
high dimensional data
feature space
kalman filter
subspace clustering
dimensionality reduction
subspace learning
linear subspace
lossless compression
singular value decomposition
principal components
clustering high dimensional data