Recent advances in digital multimedia tampering detection for forensics analysis
In the digital multimedia era, digital forensics is becoming an emerging area of research
thanks to the large amount of image and video files generated. Ensuring the integrity of such …
thanks to the large amount of image and video files generated. Ensuring the integrity of such …
Oil spill detection in SAR images using online extended variational learning of dirichlet process mixtures of gamma distributions
In this paper, we propose a Dirichlet process (DP) mixture model of Gamma distributions,
which is an extension of the finite Gamma mixture model to the infinite case. In particular, we …
which is an extension of the finite Gamma mixture model to the infinite case. In particular, we …
Bounded multivariate generalized Gaussian mixture model using ICA and IVA
A bounded multivariate generalized Gaussian mixture model with a full covariance matrix is
proposed for modeling data in a bounded support region. For model selection, we propose …
proposed for modeling data in a bounded support region. For model selection, we propose …
Deriving probabilistic SVM kernels from flexible statistical mixture models and its application to retinal images classification
This paper aims to propose a robust hybrid probabilistic learning approach that combines
appropriately the advantages of both the generative and discriminative models for the …
appropriately the advantages of both the generative and discriminative models for the …
Online learning of finite and infinite gamma mixture models for COVID-19 detection in medical images
The accurate detection of abnormalities in medical images (like X-ray and CT scans) is a
challenging problem due to images' blurred boundary contours, different sizes, variable …
challenging problem due to images' blurred boundary contours, different sizes, variable …
Color object segmentation and tracking using flexible statistical model and level-set
This study presents an unsupervised novel algorithm for color image segmentation, object
detection and tracking based on unsupervised learning step followed with a post processing …
detection and tracking based on unsupervised learning step followed with a post processing …
A competitive generalized gamma mixture model for medical image diagnosis
Parametric family of statistical distributions are of great importance for several applications.
In particular, we propose to investigate the generalized Gamma mixture model (MM) for …
In particular, we propose to investigate the generalized Gamma mixture model (MM) for …
Bayesian inference framework for bounded generalized Gaussian‐based mixture model and its application to biomedical images classification
Biomedical image classification problem has attracted a lot of attention in medical
engineering community and medicine applications. Accurate and automatic classification …
engineering community and medicine applications. Accurate and automatic classification …
Efficient statistical learning framework with applications to human activity and facial expression recognition
In this paper, we address the problem of human activities and facial expression recognition
by investigating the effectiveness of Bayesian inference methods. Indeed, a novel method …
by investigating the effectiveness of Bayesian inference methods. Indeed, a novel method …
Bayesian learning of shifted-scaled dirichlet mixture models and its application to early COVID-19 detection in chest X-ray images
S Bourouis, A Alharbi, N Bouguila - Journal of Imaging, 2021 - mdpi.com
Early diagnosis and assessment of fatal diseases and acute infections on chest X-ray (CXR)
imaging may have important therapeutic implications and reduce mortality. In fact, many …
imaging may have important therapeutic implications and reduce mortality. In fact, many …