Search Results - "Samir, Chafik"

Bayesian cluster analysis for registration and clustering homogeneous subgroups in multidimensional functional data by Fradi, Anis, Samir, Chafik

“…We introduce a new statistical model for clustering populations of functions and multidimensional curves where the domain is a real interval I. We consider…”
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Automatic detection and classification of manufacturing defects in metal boxes using deep neural networks by Essid, Oumayma, Laga, Hamid, Samir, Chafik

“…This paper develops a new machine vision framework for efficient detection and classification of manufacturing defects in metal boxes. Previous techniques,…”
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A scalable approximate Bayesian inference for high-dimensional Gaussian processes by Fradi, Anis, Samir, Chafik, Bachoc, François

“…In this paper, we adopt a Bayesian point of view, based on Gaussian processes, for classifying high-dimensional data. Since computing the exact marginal…”
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A Constructive Approximation of Interpolating Bézier Curves on Riemannian Symmetric Spaces by Adouani, Ines, Samir, Chafik

“…We propose a new method to approximate curves that interpolate a given set of time-labeled data on Riemannian symmetric spaces. First, we present our new…”
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Cubic Hermite interpolators on the space of probability measures by Adouani, Ines, Samir, Chafik, Tran, Tien Tam

“…In this paper, we introduce a novel two‐step modeling method to generalize cubic Hermite interpolators on the space of probability measures P+(I)$$…”
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Numerical algorithms for spline interpolation on space of probability density functions by Adouani, Ines, Samir, Chafik

“…This paper addresses the problem of spline interpolations on P , the space of probability density functions when only a few observations p i ∈ P are available…”
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The contribution of reduced COVID-19 test time in controlling the spread of the disease: A simulation-based approach by Frichi, Youness, Kacem, Abderrahmane B., Jawab, Fouad, Boutahari, Said, Kamach, Oualid, Chafik, Samir

“…The novel coronavirus COVID-19 has known a large spread over the globe threatening human health. Recommendations from WHO and specialists insist on testing on…”
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Bézier Splines Interpolation on Stiefel and Grassmann Manifolds by Samir, Chafik, Adouani, Ines

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Numerical algorithms for Spline Interpolation on Space of Probability Density Functions: Manifold of Probability Density Functions by Adouani, Ines, Samir, Chafik

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Coordinate descent optimization for one-to-one correspondence and supervised classification of 3D shapes by Samir, Chafik, Huang, Wen

“…Recent developments in shape analysis and retrieval play an important role in a wide variety of applications that potentially require matching of objects with…”
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C1 interpolating Bézier path on Riemannian manifolds, with applications to 3D shape space by Samir, Chafik, Adouani, Ines

“…This paper introduces a new framework to fit a C1 Bézier path to a given finite set of ordered data points on shape space of curves. We prove existence and…”
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C1 interpolating Bézier path on Riemannian manifolds, with applications to 3D shape space: Regression on Riemannian manifolds by Samir, Chafik, Adouani, Ines

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A New Bayesian Approach to Global Optimization on Parametrized Surfaces in R3 by Fradi, Anis, Samir, Chafik, Adouani, Ines

“…This work introduces a new Riemannian optimization method for registering open parameterized surfaces with a constrained global optimization approach. The…”
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A New Bayesian Approach to Global Optimization on Parametrized Surfaces in $$\mathbb {R}^{3} by Fradi, Anis, Samir, Chafik, Adouani, Ines

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Learning, inference, and prediction on probability density functions with constrained Gaussian processes by Tran, Tien-Tam, Fradi, Anis, Samir, Chafik

“…Probability density functions (PDFs) play an important role in machine learning, statistics, and in many real-world applications. In this paper, we introduce a…”
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Bézier Splines Interpolation on Stiefel and Grassmann Manifolds by null, Ines Adouani, Samir, Chafik

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A scalable Matérn Gaussian process for learning spatial curves distributions by Tran, Tam Tien, Feunteun, Yan, Samir, Chafik, Braga, José

“…Data points on Riemannian manifolds are fundamental objects in many applications and fields. Representations include shapes from biology and medical imaging,…”
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A scalable Matérn Gaussian process for learning spatial curves distributions by Tran, Tam Tien, Feunteun, Yan, Samir, Chafik, Braga, José

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Automatic Detection and Classification of Manufacturing Defects in Metal Boxes by Essid, O. M., Samir, Chafik, Hamid, Laga

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Elastic Shape Analysis of Cylindrical Surfaces for 3D/2D Registration in Endometrial Tissue Characterization by Samir, Chafik, Kurtek, Sebastian, Srivastava, Anuj, Canis, Michel

“…We study the problem of joint registration and deformation analysis of endometrial tissue using 3D magnetic resonance imaging (MRI) and 2D trans-vaginal…”
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