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Capturing correlation changes by applying kernel change point detection on the running correlations.
Jedelyn Cabrieto
Francis Tuerlinckx
Peter Kuppens
Frank H. Wilhelm
Michael Liedlgruber
Eva Ceulemans
Published in:
Inf. Sci. (2018)
Keyphrases
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change point detection
change point
highly correlated
sequential data
outlier detection
spatial correlation
non stationary
high dimensional time series
kernel function
singular spectrum analysis
neural network
multi dimensional
high dimensional
feature space
support vector
image sequences
website
databases