1 citations · 2 across the 15 of their papers we have counts for
15 papers
Marker-free eye-gaze estimation using a single image and depth from defocus
David Hurtubise-Martin, Feriel Fass, Djemel Ziou +1
This paper presents a marker-free eye-gaze estimation approach using a single 2D camera, such as an integrated laptop webcam. The gaze-related features are estimated from iris loca…
A Synthetic Multivariate Refrigerator Time-Series Dataset for Predictive Maintenance
Islam Benamirouche, Feriel Fass, Djemel Ziou
We generated synthetic multivariate time series for 27 refrigerators with a simplified physicsinspired simulator at one-minute resolution. The simulator includes ambient-temperatur…
A Transferable Autologistic Model for Predicting Rare Failures in Heterogeneous Equipment
Islam Benamirouche, Djemel Ziou, Feriel Fass
Predicting failures before they occur remains a major challenge in predictive maintenance, particularly when failures are rare, when equipment of the same family differ in sensor c…
Improved image display by identifying the RGB family color space
Elvis Togban, Djemel Ziou
To display an image, the color space in which the image is encoded is assumed to be known. Unfortunately, this assumption is rarely realistic. In this paper, we propose to identify…
Linear Anchored Gaussian Mixture Model for Location and Width Computations of Objects in Thick Line Shape
Nafaa Nacereddine, Aicha Baya Goumeidane, Djemel Ziou
Accurate detection of the centerline of a thick linear structure and good estimation of its thickness are challenging topics in many real-world applications such X-ray imaging, rem…
Hierarchical mixture of discriminative Generalized Dirichlet classifiers
Elvis Togban, Djemel Ziou
This paper presents a discriminative classifier for compositional data. This classifier is based on the posterior distribution of the Generalized Dirichlet which is the discriminat…
Deriving Lehmer and Hölder means as maximum weighted likelihood estimates for the multivariate exponential family
Djemel Ziou, Issam Fakir
The links between the mean families of Lehmer and Hölder and the weighted maximum likelihood estimator have recently been established in the case of a regular univariate exponentia…
Centrality Estimators for Probability Density Functions
Djemel Ziou
In this report, we explore the data selection leading to a family of estimators maximizing a centrality. The family allows a nice properties leading to accurate and robust probabil…
Prediction of rare events in the operation of household equipment using co-evolving time series
Hadia Mecheri, Islam Benamirouche, Feriel Fass +2
In this study, we propose an approach for predicting rare events by exploiting time series in coevolution. Our approach involves a weighted autologistic regression model, where we…
Guided Scale Space Radon Transform for linear structures detection
Aicha Baya Goumeidane, Djemel Ziou, Nafaa Nacereddine
Using integral transforms to the end of lines detection in images with complex background, makes the detection a hard task needing additional processing to manage the detection. As…
Using maximum weighted likelihood to derive Lehmer and Hölder mean families
Djemel Ziou
In this paper, we establish the links between the Lehmer and Hölder mean families and maximum weighted likelihood estimator. Considering the regular one-parameter exponential famil…
Scale space radon transform-based inertia axis and object central symmetry estimation
Aicha Baya Goumeidane, Djemel Ziou, Nafaa Nacereddine
Inertia Axes are involved in many techniques for image content measurement when involving information obtained from lines, angles, centroids... etc. We investigate, here, the estim…
Calculus of functional centrality
Djemel Ziou
In this document, we present another perspective for the calculus of optimal geometrical primitives and functions according to the centrality requirements. The shortest paths expre…
Pythagorean Centrality for Data Selection
Djemel Ziou
This paper provides an overview of the Pythagorean centrality measures, which are the arithmetic, geometric, and harmonic means. Both the evolution of their meaning through history…
On Scale Space Radon Transform, Properties and Application in CT Image Reconstruction
Nafaa Nacereddine, Djemel Ziou, Aicha Baya Goumeidane
Since the Radon transform (RT) consists in a line integral function, some modeling assumptions are made on Computed Tomography (CT) system, making image reconstruction analytical m…