Results 101 to 110 of about 1,148,061 (201)

Long signal change-point detection

, 2016
International audienceThe detection of change-points in a spatially or time ordered data sequence is an important problem in many fields such as genetics and finance.
David M. Mason, Biau, Gérard, Kevin Bleakley, Bleakley, Kevin, Gérard Biau, Mason, David, Mason, David,   +6 more
core   +1 more source

Automated Detection of Tribologically Relevant Brake Torque Plateaus: A Two-Stage Approach for Flywheel Dynamometer Testing

Lubricants
Reliable identification of the tribologically relevant braking phase in torque signals recorded on flywheel dynamometers is a prerequisite for quantitative friction analysis and data-driven modeling of dry-running friction brakes.
Stefan Altstetter, Arne Bischofberger, Sascha Ott, Tobias Düser   +3 more
doaj   +1 more source

Multi-spectral and digital elevation model information fusion for automatic 3d change detection

, 2011
Various 2D and 3D change detection techniques have been developed in the literature to monitor changes inside urban areas. Nevertheless, most of theses techniques require the interaction of the user either to input data, set parameters, or to train ...
Chaabouni-Chouayakh, Houda, Reinartz, Peter, Rodes-Arnau, Isabel   +2 more
core  

Active Change-Point Detection

Transactions of the Japanese Society for Artificial Intelligence, 2020
Shogo Hayashi, Yoshinobu Kawahara, Hisashi Kashima   +2 more
openaire   +3 more sources

Change Detection for Reconstruction Monitoring based on Very High Resolution Optical Data

, 2011
Change detection techniques are widely used in environmental monitoring, however, the issue of best suitability of change detection techniques for a specific application, even study area is still unanswered.
Liang, Wenjing, Hoja, Danielle, Stilla, Uwe, Schmitt, Michael   +3 more
core  

Fast Likelihood-Based Change Point Detection

, 2020
Change point detection plays a fundamental role in many real-world applications, where the goal is to analyze and monitor the behaviour of a data stream. In this paper, we study change detection in binary streams. To this end, we use a likelihood ratio between two models as a measure for indicating change. The first model is a single bernoulli variable
openaire   +3 more sources

A statistical test for network similarity

Journal of Physics: Complexity
In this article, we revisit and expand our prior work on graph similarity. As with our earlier work, we focus on a view of similarity which does not require node correspondence between graphs under comparison.
Pierre Miasnikof, Alexander Y Shestopaloff   +1 more
doaj   +1 more source

Nonparametric change point detection in regression

, 2019
This paper considers the prominent problem of change-point detection in regression. The study suggests a novel testing procedure featuring a fully data-driven calibration scheme. The method is essentially a black box, requiring no tuning from the practitioner. The approach is investigated from both theoretical and practical points of view.
openaire   +2 more sources

Incremental refinement of image salient-point detection

, 2008
Low-level image analysis systems typically detect "points of interest", i.e., areas of natural images that contain corners or edges. Most of the robust and computationally efficient detectors proposed for this task use the autocorrelation matrix of the ...
Andreopoulos, Y, Yiannis Andreopoulos, Ioannis Patras, Patras, I   +3 more
core  

Multi-variate quickest detection of significant change process

The paper deals with a mathematical model of a surveillance system based on a net of sensors. The signals acquired by each node of the net are Markovian process, have two different transition probabilities, which depends on the presence or absence of a ...
Szajowski, Krzysztof
core