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Tarek Elguebaly
Person information
- affiliation: Concordia University, Montreal, Quebec, Canada
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2010 – 2019
- 2015
- [j9]Tarek Elguebaly, Nizar Bouguila:
Model-based approach for high-dimensional non-Gaussian visual data clustering and feature weighting. Digit. Signal Process. 40: 63-79 (2015) - [j8]Tarek Elguebaly, Nizar Bouguila:
Simultaneous high-dimensional clustering and feature selection using asymmetric Gaussian mixture models. Image Vis. Comput. 34: 27-41 (2015) - [j7]Tarek Elguebaly, Nizar Bouguila:
A hierarchical nonparametric Bayesian approach for medical images and gene expressions classification. Soft Comput. 19(1): 189-204 (2015) - [c9]Tarek Elguebaly, Nizar Bouguila:
Semantic Scene Classification with Generalized Gaussian Mixture Models. ICIAR 2015: 159-166 - 2014
- [j6]Tarek Elguebaly, Nizar Bouguila:
Background subtraction using finite mixtures of asymmetric Gaussian distributions and shadow detection. Mach. Vis. Appl. 25(5): 1145-1162 (2014) - [c8]Tarek Elguebaly, Nizar Bouguila:
Improving codebook generation for action recognition using a mixture of Asymmetric Gaussians. CIMSIVP 2014: 23-28 - [c7]Tarek Elguebaly, Nizar Bouguila:
Indoor Scene Recognition with a Visual Attention-Driven Spatial Pooling Strategy. CRV 2014: 268-275 - [c6]Tarek Elguebaly, Nizar Bouguila:
A Novel Method for Scene Categorization Using an Improved Visual Vocabulary Approach. ICAIS 2014: 29-39 - 2013
- [j5]Tarek Elguebaly, Nizar Bouguila:
Finite asymmetric generalized Gaussian mixture models learning for infrared object detection. Comput. Vis. Image Underst. 117(12): 1659-1671 (2013) - [j4]Tarek Elguebaly, Nizar Bouguila:
Simultaneous Bayesian clustering and feature selection using RJMCMC-based learning of finite generalized Dirichlet mixture models. Signal Process. 93(6): 1531-1546 (2013) - [c5]Tarek Elguebaly, Nizar Bouguila:
A Bayesian Approach for the Classification of Mammographic Masses. DeSE 2013: 99-104 - 2012
- [j3]Nizar Bouguila, Tarek Elguebaly:
A fully Bayesian model based on reversible jump MCMC and finite Beta mixtures for clustering. Expert Syst. Appl. 39(5): 5946-5959 (2012) - [j2]Tarek Elguebaly, Nizar Bouguila:
Generalized Gaussian mixture models as a nonparametric Bayesian approach for clustering using class-specific visual features. J. Vis. Commun. Image Represent. 23(8): 1199-1212 (2012) - [c4]Tarek Elguebaly, Nizar Bouguila:
Medical image classification using birth-and-death MCMC. ISCAS 2012: 2075-2078 - 2011
- [j1]Tarek Elguebaly, Nizar Bouguila:
Bayesian learning of finite generalized Gaussian mixture models on images. Signal Process. 91(4): 801-820 (2011) - [c3]Tarek Elguebaly, Nizar Bouguila:
A nonparametric Bayesian approach for enhanced pedestrian detection and foreground segmentation. CVPR Workshops 2011: 21-26 - [c2]Tarek Elguebaly, Nizar Bouguila:
Infinite Generalized Gaussian Mixture Modeling and Applications. ICIAR (1) 2011: 201-210 - 2010
- [c1]Tarek Elguebaly, Nizar Bouguila:
Bayesian Learning of Generalized Gaussian Mixture Models on Biomedical Images. ANNPR 2010: 207-218
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