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Bounds on subspace codes based on subspaces of type (s, 0, 0, 0) in pseudo-sympletic spaces and singular pseudo-symplectic spaces.
You Gao
Jinru Gao
Gang Wang
Published in:
Appl. Math. Comput. (2021)
Keyphrases
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hilbert space
high dimensional
upper bound
low dimensional
linear subspace
linear projection
high dimensional data
lower dimensional
lower bound
subspace clusters
neural network
dimensionality reduction
error correction
canonical correlations
arbitrarily oriented