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Optimal Distance Bounds for the Mahalanobis Distance.
Tobias Emrich
Gregor Jossé
Hans-Peter Kriegel
Markus Mauder
Johannes Niedermayer
Matthias Renz
Matthias Schubert
Andreas Züfle
Published in:
SISAP (2013)
Keyphrases
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mahalanobis distance
euclidean distance
covariance matrix
noise model
kl divergence
worst case
upper bound
metric learning
distance metric
data distribution
optimal solution
distance function
data sets
lower bound
sample size
distance measure
dimensionality reduction
training data
learning algorithm