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Clustering processes

Clustering processes

29 April 2010
D. Ryabko
ArXiv (abs)PDFHTML

Papers citing "Clustering processes"

13 / 13 papers shown
Title
Clustering piecewise stationary processes
Clustering piecewise stationary processesInternational Symposium on Information Theory (ISIT), 2019
A. Khaleghi
D. Ryabko
178
3
0
26 Jun 2019
Asymptotic nonparametric statistical analysis of stationary time series
Asymptotic nonparametric statistical analysis of stationary time series
D. Ryabko
170
18
0
30 Mar 2019
Hypotheses testing on infinite random graphs
Hypotheses testing on infinite random graphsInternational Conference on Algorithmic Learning Theory (ALT), 2017
D. Ryabko
122
9
0
10 Aug 2017
Independence clustering (without a matrix)
Independence clustering (without a matrix)
D. Ryabko
159
6
0
20 Mar 2017
Robust nonparametric nearest neighbor random process clustering
Robust nonparametric nearest neighbor random process clustering
Michael Tschannen
Helmut Bölcskei
220
4
0
04 Dec 2016
Optimal Transport vs. Fisher-Rao distance between Copulas for Clustering
  Multivariate Time Series
Optimal Transport vs. Fisher-Rao distance between Copulas for Clustering Multivariate Time Series
Gautier Marti
Sébastien Andler
Frank Nielsen
Philippe Donnat
AI4TS
153
16
0
28 Apr 2016
Clustering Financial Time Series: How Long is Enough?
Clustering Financial Time Series: How Long is Enough?
Gautier Marti
Sébastien Andler
Frank Nielsen
Philippe Donnat
AI4TSAIFin
136
26
0
13 Mar 2016
Toward a generic representation of random variables for machine learning
Toward a generic representation of random variables for machine learningPattern Recognition Letters (PRL), 2015
Gautier Marti
P. Very
Philippe Donnat
CML
151
17
0
02 Jun 2015
Nonparametric Nearest Neighbor Random Process Clustering
Nonparametric Nearest Neighbor Random Process Clustering
Michael Tschannen
Helmut Bölcskei
116
3
0
20 Apr 2015
A consistent clustering-based approach to estimating the number of
  change-points in highly dependent time-series
A consistent clustering-based approach to estimating the number of change-points in highly dependent time-series
A. Khaleghi
D. Ryabko
136
0
0
14 Feb 2013
Reducing statistical time-series problems to binary classification
Reducing statistical time-series problems to binary classificationNeural Information Processing Systems (NeurIPS), 2012
D. Ryabko
Jérémie Mary
217
13
0
22 Oct 2012
Multiple Change Point Estimation in Stationary Ergodic Time Series
Multiple Change Point Estimation in Stationary Ergodic Time SeriesTheoretical Computer Science (TCS), 2012
A. Khaleghi
D. Ryabko
646
15
0
07 Mar 2012
Uniform hypothesis testing for ergodic time series distributions
Uniform hypothesis testing for ergodic time series distributionsIEEE Region International Conference on Computational Technologies in Electrical and Electronics Engineering (ICCTEEE), 2010
D. Ryabko
173
1
0
21 Jul 2011
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