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A multi-scale a contrario method for unsupervised image anomaly detection
(IEEE, 2021)
Anomalies can be defined as any non-random structure which deviates from normality. Anomaly detection methods reported in the literature are numerous and diverse, as what is considered anomalous usually varies depending ...
A contrario 3D point alignment detection algorithm
(2017)
In this article we present an algorithm for the detection of perceptually relevant alignments in 3D point clouds. The algorithm is an extension of the algorithm developed by Lezama et al. [J. Lezama, J-M. Morel, G. Randall, ...
The whole and the parts : The MDL principle and the a-contrario framework
(arXiv, 2021)
This work explores the connections between the Minimum Description Length (MDL) principle as developed by Rissanen, and the a-contrario framework for structure detection proposed by Desolneux, Moisan and Morel. The MDL ...
An unsupervised point alignment detection algorithm
(2015)
In this article we present an algorithm for the detection of perceptually relevant alignments of points in 2D point patterns. Our algorithm is based on the a contrario detection theory. It requires no parameter tuning and ...
Outliers in biometrics : an a-contrario approach
(UR. FING, 2017)
This thesis addresses the problems of biometrics : how a persons identity could be determined or validated by using some physical or behavioral characteristic. Biometry is one of the main research topics in the field of ...
Unsupervised smooth contour detection
(2016)
An unsupervised method for detecting smooth contours in digital images is proposed. Following
the a contrario approach, the starting point is dening the conditions where contours should not be detected: soft gradient ...
Modeling of Faults in Chemical Reactor with Continuous Agitation (CSTR)Modelización de Fallas en Reactor Químico con Agitación Continua (CSTR)
(Universidad Tecnológica Nacional, 2019)
An unsupervised algorithm for detecting good continuation in Dot Patterns
(Udelar. FI-IIE, 2017)
In this article we describe an algorithm for the automatic detection of perceptually relevant
configurations of `good continuation' of points in 2D point patterns. The algorithm is based
on the `a contrario' detection ...