| 2008 |
|---|
| 22 | EE | Nizar Bouguila,
Walid ElGuebaly:
On Discrete Data Clustering.
PAKDD 2008: 503-510 |
| 21 | EE | Nizar Bouguila:
Clustering of Count Data Using Generalized Dirichlet Multinomial Distributions.
IEEE Trans. Knowl. Data Eng. 20(4): 462-474 (2008) |
| 2007 |
|---|
| 20 | EE | Mohand Saïd Allili,
Nizar Bouguila,
Djemel Ziou:
Finite Generalized Gaussian Mixture Modeling and Applications to Image and Video Foreground Segmentation.
CRV 2007: 183-190 |
| 19 | EE | Mohand Saïd Allili,
Nizar Bouguila,
Djemel Ziou:
A Robust Video Foreground Segmentation by Using Generalized Gaussian Mixture Modeling.
CRV 2007: 503-509 |
| 18 | EE | Nizar Bouguila,
Djemel Ziou,
Riad I. Hammoud:
A Bayesian Non-Gaussian Mixture Analysis: Application to Eye Modeling.
CVPR 2007 |
| 17 | EE | Sabri Boutemedjet,
Nizar Bouguila,
Djemel Ziou:
Unsupervised Feature and Model Selection for Generalized Dirichlet Mixture Models.
ICIAR 2007: 330-341 |
| 16 | EE | Sabri Boutemedjet,
Djemel Ziou,
Nizar Bouguila:
A Graphical Model for Content Based Image Suggestion and Feature Selection.
PKDD 2007: 30-41 |
| 15 | EE | Nizar Bouguila,
Djemel Ziou:
High-Dimensional Unsupervised Selection and Estimation of a Finite Generalized Dirichlet Mixture Model Based on Minimum Message Length.
IEEE Trans. Pattern Anal. Mach. Intell. 29(10): 1716-1731 (2007) |
| 14 | EE | Nizar Bouguila,
Djemel Ziou:
Unsupervised learning of a finite discrete mixture: Applications to texture modeling and image databases summarization.
J. Visual Communication and Image Representation 18(4): 295-309 (2007) |
| 2006 |
|---|
| 13 | EE | Nizar Bouguila,
Djemel Ziou:
Unsupervised Selection of a Finite Dirichlet Mixture Model: An MML-Based Approach.
IEEE Trans. Knowl. Data Eng. 18(8): 993-1009 (2006) |
| 12 | EE | Nizar Bouguila,
Djemel Ziou:
A hybrid SEM algorithm for high-dimensional unsupervised learning using a finite generalized Dirichlet mixture.
IEEE Transactions on Image Processing 15(9): 2657-2668 (2006) |
| 11 | EE | Nizar Bouguila,
Djemel Ziou,
Ernest Monga:
Practical Bayesian estimation of a finite beta mixture through gibbs sampling and its applications.
Statistics and Computing 16(2): 215-225 (2006) |
| 2005 |
|---|
| 10 | EE | Nizar Bouguila,
Djemel Ziou:
On Fitting Finite Dirichlet Mixture Using ECM and MML.
ICAPR (1) 2005: 172-182 |
| 9 | EE | Nizar Bouguila,
Djemel Ziou:
A probabilistic approach for shadows modeling and detection.
ICIP (1) 2005: 329-332 |
| 8 | EE | Nizar Bouguila,
Djemel Ziou:
MML-Based Approach for Finite Dirichlet Mixture Estimation and Selection.
MLDM 2005: 42-51 |
| 7 | EE | Nizar Bouguila,
Djemel Ziou:
A New Approach for High-Dimensional Unsupervised Learning: Applications to Image Restoration.
PReMI 2005: 200-205 |
| 6 | EE | Nizar Bouguila,
Djemel Ziou:
Using unsupervised learning of a finite Dirichlet mixture model to improve pattern recognition applications.
Pattern Recognition Letters 26(12): 1916-1925 (2005) |
| 2004 |
|---|
| 5 | EE | Nizar Bouguila,
Djemel Ziou:
A Powreful Finite Mixture Model Based on the Generalized Dirichlet Distribution: Unsupervised Learning and Applications.
ICPR (1) 2004: 280-283 |
| 4 | EE | Djemel Ziou,
Nizar Bouguila:
Unsupervised Learning of a Finite Gamma Mixture Using MML: Application to SAR Image Analysis.
ICPR (2) 2004: 68-71 |
| 3 | | Nizar Bouguila,
Djemel Ziou:
Unsupervised Learning of a Finite Discrete Mixture Model Based on the Multinomial Dirichlet Distribution: Application to Texture Modeling.
PRIS 2004: 118-127 |
| 2 | EE | Nizar Bouguila,
Djemel Ziou,
Jean Vaillancourt:
Unsupervised learning of a finite mixture model based on the Dirichlet distribution and its application.
IEEE Transactions on Image Processing 13(11): 1533-1543 (2004) |
| 2003 |
|---|
| 1 | EE | Nizar Bouguila,
Djemel Ziou,
Jean Vaillancourt:
Novel Mixtures Based on the Dirichlet Distribution: Application to Data and Image Classification.
MLDM 2003: 172-181 |
