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Nizar Bouguila: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

Mohand Saïd Allili, Nizar Bouguila, Djemel Ziou
A Robust Video Foreground Segmentation by Using Generalized Gaussian Mixture Modeling. [Citation Graph (0, 0)][DBLP]
CRV, 2007, pp:503-509 [Conf]
Mohand Saïd Allili, Nizar Bouguila, Djemel Ziou
Finite Generalized Gaussian Mixture Modeling and Applications to Image and Video Foreground Segmentation. [Citation Graph (0, 0)][DBLP]
CRV, 2007, pp:183-190 [Conf]
Nizar Bouguila, Djemel Ziou
On Fitting Finite Dirichlet Mixture Using ECM and MML. [Citation Graph (0, 0)][DBLP]
ICAPR (1), 2005, pp:172-182 [Conf]
Nizar Bouguila, Djemel Ziou
A probabilistic approach for shadows modeling and detection. [Citation Graph (0, 0)][DBLP]
ICIP (1), 2005, pp:329-332 [Conf]
Nizar Bouguila, Djemel Ziou
A Powreful Finite Mixture Model Based on the Generalized Dirichlet Distribution: Unsupervised Learning and Applications. [Citation Graph (0, 0)][DBLP]
ICPR (1), 2004, pp:280-283 [Conf]
Djemel Ziou, Nizar Bouguila
Unsupervised Learning of a Finite Gamma Mixture Using MML: Application to SAR Image Analysis. [Citation Graph (0, 0)][DBLP]
ICPR (2), 2004, pp:68-71 [Conf]
Nizar Bouguila, Djemel Ziou
MML-Based Approach for Finite Dirichlet Mixture Estimation and Selection. [Citation Graph (0, 0)][DBLP]
MLDM, 2005, pp:42-51 [Conf]
Nizar Bouguila, Djemel Ziou, Jean Vaillancourt
Novel Mixtures Based on the Dirichlet Distribution: Application to Data and Image Classification. [Citation Graph (0, 0)][DBLP]
MLDM, 2003, pp:172-181 [Conf]
Nizar Bouguila, Djemel Ziou
A New Approach for High-Dimensional Unsupervised Learning: Applications to Image Restoration. [Citation Graph (0, 0)][DBLP]
PReMI, 2005, pp:200-205 [Conf]
Nizar Bouguila, Djemel Ziou
Unsupervised Learning of a Finite Discrete Mixture Model Based on the Multinomial Dirichlet Distribution: Application to Texture Modeling. [Citation Graph (0, 0)][DBLP]
PRIS, 2004, pp:118-127 [Conf]
Nizar Bouguila, Djemel Ziou
Using unsupervised learning of a finite Dirichlet mixture model to improve pattern recognition applications. [Citation Graph (0, 0)][DBLP]
Pattern Recognition Letters, 2005, v:26, n:12, pp:1916-1925 [Journal]
Nizar Bouguila, Djemel Ziou, Jean Vaillancourt
Unsupervised learning of a finite mixture model based on the Dirichlet distribution and its application. [Citation Graph (0, 0)][DBLP]
IEEE Transactions on Image Processing, 2004, v:13, n:11, pp:1533-1543 [Journal]
Nizar Bouguila, Djemel Ziou
A hybrid SEM algorithm for high-dimensional unsupervised learning using a finite generalized Dirichlet mixture. [Citation Graph (0, 0)][DBLP]
IEEE Transactions on Image Processing, 2006, v:15, n:9, pp:2657-2668 [Journal]
Nizar Bouguila, Djemel Ziou
Unsupervised Selection of a Finite Dirichlet Mixture Model: An MML-Based Approach. [Citation Graph (0, 0)][DBLP]
IEEE Trans. Knowl. Data Eng., 2006, v:18, n:8, pp:993-1009 [Journal]
Nizar Bouguila, Djemel Ziou, Ernest Monga
Practical Bayesian estimation of a finite beta mixture through gibbs sampling and its applications. [Citation Graph (0, 0)][DBLP]
Statistics and Computing, 2006, v:16, n:2, pp:215-225 [Journal]
Nizar Bouguila, Djemel Ziou, Riad I. Hammoud
A Bayesian Non-Gaussian Mixture Analysis: Application to Eye Modeling. [Citation Graph (0, 0)][DBLP]
CVPR, 2007, pp:- [Conf]
Sabri Boutemedjet, Nizar Bouguila, Djemel Ziou
Unsupervised Feature and Model Selection for Generalized Dirichlet Mixture Models. [Citation Graph (0, 0)][DBLP]
ICIAR, 2007, pp:330-341 [Conf]
Sabri Boutemedjet, Djemel Ziou, Nizar Bouguila
A Graphical Model for Content Based Image Suggestion and Feature Selection. [Citation Graph (0, 0)][DBLP]
PKDD, 2007, pp:30-41 [Conf]
Nizar Bouguila, Djemel Ziou
High-Dimensional Unsupervised Selection and Estimation of a Finite Generalized Dirichlet Mixture Model Based on Minimum Message Length. [Citation Graph (0, 0)][DBLP]
IEEE Trans. Pattern Anal. Mach. Intell., 2007, v:29, n:10, pp:1716-1731 [Journal]
Nizar Bouguila, Djemel Ziou
Unsupervised learning of a finite discrete mixture: Applications to texture modeling and image databases summarization. [Citation Graph (0, 0)][DBLP]
J. Visual Communication and Image Representation, 2007, v:18, n:4, pp:295-309 [Journal]
Improved Online Support Vector Machines Spam Filtering Using String Kernels. [Citation Graph (, )][DBLP]
Generating Video Textures by PPCA and Gaussian Process Dynamical Model. [Citation Graph (, )][DBLP]
A Statistical Model for Histogram Refinement. [Citation Graph (, )][DBLP]
Non-Gaussian mixture image models prediction. [Citation Graph (, )][DBLP]
Online spam filtering using support vector machines. [Citation Graph (, )][DBLP]
Online Video Textures Generation. [Citation Graph (, )][DBLP]
Unsupervised Feature Selection for Accurate Recommendation of High-Dimensional Image Data. [Citation Graph (, )][DBLP]
On Discrete Data Clustering. [Citation Graph (, )][DBLP]
A Nonparametric Bayesian Learning Model: Application to Text and Image Categorization. [Citation Graph (, )][DBLP]
A Statistical Approach for Binary Vectors Modeling and Clustering. [Citation Graph (, )][DBLP]
On Video Textures Generation: A Comparison Between Different Dimensionality Reduction Techniques. [Citation Graph (, )][DBLP]
Bayesian Learning of Generalized Gaussian Mixture Models on Biomedical Images. [Citation Graph (, )][DBLP]
An optimal bivariate Poisson field chart for monitoring defects. [Citation Graph (, )][DBLP]
A generative model for spatial color image databases categorization. [Citation Graph (, )][DBLP]
Spatial Color Image Databases Summarization. [Citation Graph (, )][DBLP]

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