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Approximate Log-Hilbert-Schmidt Distances between Covariance Operators for Image Classification.
Ha Quang Minh
Marco San-Biagio
Loris Bazzani
Vittorio Murino
Published in:
CVPR (2016)
Keyphrases
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hilbert schmidt
image classification
reproducing kernel hilbert space
distance measure
loss function
special case
feature extraction
distance function
learning theory
euclidean distance
kernel methods
expected error
euclidean space
optimal solution
density estimation
gaussian process