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New efficient algorithms for multiple change-point detection with
  kernels

New efficient algorithms for multiple change-point detection with kernels

12 October 2017
Alain Celisse
G. Marot
Morgane Pierre-Jean
G. Rigaill
ArXivPDFHTML

Papers citing "New efficient algorithms for multiple change-point detection with kernels"

6 / 6 papers shown
Title
Wild binary segmentation for multiple change-point detection
Wild binary segmentation for multiple change-point detection
Piotr Fryzlewicz
75
653
0
04 Nov 2014
Sharp analysis of low-rank kernel matrix approximations
Sharp analysis of low-rank kernel matrix approximations
Francis R. Bach
152
282
0
09 Aug 2012
Equivalence of distance-based and RKHS-based statistics in hypothesis
  testing
Equivalence of distance-based and RKHS-based statistics in hypothesis testing
Dino Sejdinovic
Bharath K. Sriperumbudur
Arthur Gretton
Kenji Fukumizu
213
685
0
25 Jul 2012
A Kernel Multiple Change-point Algorithm via Model Selection
A Kernel Multiple Change-point Algorithm via Model Selection
Sylvain Arlot
Alain Celisse
Zaïd Harchaoui
72
44
0
17 Feb 2012
Universality, Characteristic Kernels and RKHS Embedding of Measures
Universality, Characteristic Kernels and RKHS Embedding of Measures
Bharath K. Sriperumbudur
Kenji Fukumizu
Gert R. G. Lanckriet
213
529
0
03 Mar 2010
Segmentation of the mean of heteroscedastic data via cross-validation
Segmentation of the mean of heteroscedastic data via cross-validation
Sylvain Arlot
Alain Celisse
OOD
58
69
0
23 Feb 2009
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