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Recurrent Deep Divergence-based Clustering for Simultaneous Feature Learning and Clustering of Variable Length Time Series.
Daniel J. Trosten
Andreas Storvik Strauman
Michael Kampffmeyer
Robert Jenssen
Published in:
ICASSP (2019)
Keyphrases
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variable length
unsupervised learning
clustering algorithm
clustering method
fixed length
learning algorithm
data mining tasks
supervised learning
k means
high quality
feature vectors
computational complexity
information theoretic
video sequences
biologically inspired
multiscale
image processing