Tarek Elguebaly
Affiliations:- Concordia University, Montreal, Quebec, Canada
According to our database1,
Tarek Elguebaly
authored at least 18 papers
between 2010 and 2015.
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Bibliography
2015
A hierarchical nonparametric Bayesian approach for medical images and gene expressions classification.
Soft Comput., 2015
Simultaneous high-dimensional clustering and feature selection using asymmetric Gaussian mixture models.
Image Vis. Comput., 2015
Model-based approach for high-dimensional non-Gaussian visual data clustering and feature weighting.
Digit. Signal Process., 2015
Proceedings of the Image Analysis and Recognition - 12th International Conference, 2015
2014
Background subtraction using finite mixtures of asymmetric Gaussian distributions and shadow detection.
Mach. Vis. Appl., 2014
A Novel Method for Scene Categorization Using an Improved Visual Vocabulary Approach.
Proceedings of the Adaptive and Intelligent Systems - Third International Conference, 2014
Proceedings of the Canadian Conference on Computer and Robot Vision, 2014
Improving codebook generation for action recognition using a mixture of Asymmetric Gaussians.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence for Multimedia, 2014
2013
Simultaneous Bayesian clustering and feature selection using RJMCMC-based learning of finite generalized Dirichlet mixture models.
Signal Process., 2013
Finite asymmetric generalized Gaussian mixture models learning for infrared object detection.
Comput. Vis. Image Underst., 2013
Proceedings of the Sixth International Conference on Developments in eSystems Engineering, 2013
2012
Generalized Gaussian mixture models as a nonparametric Bayesian approach for clustering using class-specific visual features.
J. Vis. Commun. Image Represent., 2012
A fully Bayesian model based on reversible jump MCMC and finite Beta mixtures for clustering.
Expert Syst. Appl., 2012
Proceedings of the 2012 IEEE International Symposium on Circuits and Systems, 2012
2011
Signal Process., 2011
Proceedings of the Image Analysis and Recognition - 8th International Conference, 2011
A nonparametric Bayesian approach for enhanced pedestrian detection and foreground segmentation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2011
2010
Proceedings of the Artificial Neural Networks in Pattern Recognition, 2010