Tarek Elguebaly

Affiliations:
  • Concordia University, Montreal, Quebec, Canada


According to our database1, Tarek Elguebaly authored at least 18 papers between 2010 and 2015.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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PhD thesis 
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Links

On csauthors.net:

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

Semantic Scene Classification with Generalized Gaussian Mixture Models.
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

Indoor Scene Recognition with a Visual Attention-Driven Spatial Pooling Strategy.
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

A Bayesian Approach for the Classification of Mammographic Masses.
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

Medical image classification using birth-and-death MCMC.
Proceedings of the 2012 IEEE International Symposium on Circuits and Systems, 2012

2011
Bayesian learning of finite generalized Gaussian mixture models on images.
Signal Process., 2011

Infinite Generalized Gaussian Mixture Modeling and Applications.
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
Bayesian Learning of Generalized Gaussian Mixture Models on Biomedical Images.
Proceedings of the Artificial Neural Networks in Pattern Recognition, 2010


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