Kernel-based Change-point Detection
Kernel-Based Change-Point Detection is a change-point detection method that employs kernel functions to map data into a higher-dimensional feature space, enabling the identification of distributional changes through differences in reproducing kernel Hilbert space embeddings.
33
Publications
1.8K
Citations
80
Authors
54
Institutions
Publications per year
2017–2026
13
Parents
33
Change-Points in Nonparametric Regression Analysis
Hans‐Georg Müller · The Annals of Statistics · 1992 · 369 citations
Computing, Hydrology, Econometrics +16
Zaïd Harchaoui, Éric Moulines, Francis Bach · 2008 · 129 citations
1–5 of 33
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Institut national de recherche en sciences et technologies du numérique, France
4 publications · 369 citations
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3
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1–5 of 80
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Centre National de la Recherche Scientifique
Paris, France
5 h-index
14 publications
678 citations
Technical University of Denmark
Kongens Lyngby, Denmark
3 h-index
3 publications
207 citations
Laboratoire Traitement et Communication de l’Information
Palaiseau, France
3 h-index
4 publications
285 citations
Georgia Institute of Technology
Atlanta, United States
3 h-index
8 publications
468 citations
KU Leuven
Leuven, Belgium
2 h-index
9 publications
356 citations

Télécom Paris
Palaiseau, France
2 h-index
4 publications
390 citations
Forschungszentrum Jülich
Jülich, Germany
2 h-index
2 publications
57 citations
Carnegie Mellon University
Pittsburgh, United States
2 h-index
5 publications
95 citations
1–8 of 54
Repository · 4 publications · 244 citations
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2 publications · 55 citations
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2 publications · 71 citations
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1 publications · 22 citations
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1 publications · 21 citations
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