 | 2012 |
|---|
| 79 |       | Wentao Fan,
Nizar Bouguila:
Novel approaches for synthesizing video textures.
Expert Syst. Appl. 39(1): 828-839 (2012) |
| 78 | | Ali Sefidpour,
Nizar Bouguila:
Spatial color image segmentation based on finite non-Gaussian mixture models.
Expert Syst. Appl. 39(10): 8993-9001 (2012) |
| 77 | | Taoufik Bdiri,
Nizar Bouguila:
Positive vectors clustering using inverted Dirichlet finite mixture models.
Expert Syst. Appl. 39(2): 1869-1882 (2012) |
| 76 | | 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) |
| 75 | | Nizar Bouguila,
Khaled Almakadmeh,
Sabri Boutemedjet:
A finite mixture model for simultaneous high-dimensional clustering, localized feature selection and outlier rejection.
Expert Syst. Appl. 39(7): 6641-6656 (2012) |
| 74 | | Wentao Fan,
Nizar Bouguila,
Djemel Ziou:
Variational Learning for Finite Dirichlet Mixture Models and Applications.
IEEE Trans. Neural Netw. Learning Syst. 23(5): 762-774 (2012) |
| 73 | | Nizar Bouguila:
Infinite Liouville mixture models with application to text and texture categorization.
Pattern Recognition Letters 33(2): 103-110 (2012) |
| 2011 |
|---|
| 72 | | Wentao Fan,
Nizar Bouguila,
Djemel Ziou:
Unsupervised Anomaly Intrusion Detection via Localized Bayesian Feature Selection.
ICDM 2011: 1032-1037 |
| 71 | | Tarek Elguebaly,
Nizar Bouguila:
Infinite Generalized Gaussian Mixture Modeling and Applications.
ICIAR (1) 2011: 201-210 |
| 70 | | Ali Mosleh,
Nizar Bouguila,
Abdessamad Ben Hamza:
A video completion method based on bandlet transform.
ICME 2011: 1-6 |
| 69 | | Mohamed Al Mashrgy,
Nizar Bouguila,
Khalid Daoudi:
A Robust Approach for Multivariate Binary Vectors Clustering and Feature Selection.
ICONIP (2) 2011: 125-132 |
| 68 | | Wentao Fan,
Nizar Bouguila,
Djemel Ziou:
A Variational Statistical Framework for Object Detection.
ICONIP (2) 2011: 276-283 |
| 67 | | Taoufik Bdiri,
Nizar Bouguila:
An Infinite Mixture of Inverted Dirichlet Distributions.
ICONIP (2) 2011: 71-78 |
| 66 | | Ali Sefidpour,
Nizar Bouguila:
Spatial Finite Non-gaussian Mixture for Color Image Segmentation.
ICONIP (3) 2011: 514-521 |
| 65 | | Nizar Bouguila:
Count Data Clustering Using Unsupervised Localized Feature Selection and Outliers Rejection.
ICTAI 2011: 1020-1027 |
| 64 | | Ali Shojaee Bakhtiari,
Nizar Bouguila:
An Expandable Hierarchical Statistical Framework for Count Data Modeling and Its Application to Object Classification.
ICTAI 2011: 817-824 |
| 63 | | Nizar Bouguila,
Djemel Ziou,
Sabri Boutemedjet:
Simultaneous Non-gaussian Data Clustering, Feature Selection and Outliers Rejection.
PReMI 2011: 364-369 |
| 62 | | Taoufik Bdiri,
Nizar Bouguila:
Learning Inverted Dirichlet Mixtures for Positive Data Clustering.
RSFDGrC 2011: 265-272 |
| 61 | | Nizar Bouguila:
A Liouville-Based Approach for Discrete Data Categorization.
RSFDGrC 2011: 330-337 |
| 60 | | Kuang Chung Chen,
Nizar Bouguila,
Djemel Ziou:
Quantization-free parameter space reduction in ellipse detection.
Expert Syst. Appl. 38(6): 7622-7632 (2011) |
| 59 | | Surath Aebtarm,
Nizar Bouguila:
An empirical evaluation of attribute control charts for monitoring defects.
Expert Syst. Appl. 38(6): 7869-7880 (2011) |
| 58 | | Nizar Bouguila:
Count Data Modeling and Classification Using Finite Mixtures of Distributions.
IEEE Transactions on Neural Networks 22(2): 186-198 (2011) |
| 57 | | Nizar Bouguila:
Bayesian hybrid generative discriminative learning based on finite Liouville mixture models.
Pattern Recognition 44(6): 1183-1200 (2011) |
| 56 | | Tarek Elguebaly,
Nizar Bouguila:
Bayesian learning of finite generalized Gaussian mixture models on images.
Signal Processing 91(4): 801-820 (2011) |
| 2010 |
|---|
| 55 | | Tarek Elguebaly,
Nizar Bouguila:
Bayesian Learning of Generalized Gaussian Mixture Models on Biomedical Images.
ANNPR 2010: 207-218 |
| 54 | | Mohand Saïd Allili,
Djemel Ziou,
Nizar Bouguila,
Sabri Boutemedjet:
Unsupervised Feature Selection and Learning for Image Segmentation.
CRV 2010: 285-292 |
| 53 | | Ali Shojaee Bakhtiari,
Nizar Bouguila:
A hierarchical statistical model for object classification.
MMSP 2010: 493-498 |
| 52 | | Ola Amayri,
Nizar Bouguila:
A study of spam filtering using support vector machines.
Artif. Intell. Rev. 34(1): 73-108 (2010) |
| 51 | | Nizar Bouguila:
On multivariate binary data clustering and feature weighting.
Computational Statistics & Data Analysis 54(1): 120-134 (2010) |
| 50 | | Nizar Bouguila,
Walid ElGuebaly:
Integrating spatial and color information in images using a statistical framework.
Expert Syst. Appl. 37(2): 1542-1549 (2010) |
| 49 | | Surath Aebtarm,
Nizar Bouguila:
An optimal bivariate Poisson field chart for controlling high-quality manufacturing processes.
Expert Syst. Appl. 37(7): 5498-5506 (2010) |
| 48 | | Mohand Saïd Allili,
Djemel Ziou,
Nizar Bouguila,
Sabri Boutemedjet:
Image and Video Segmentation by Combining Unsupervised Generalized Gaussian Mixture Modeling and Feature Selection.
IEEE Trans. Circuits Syst. Video Techn. 20(10): 1373-1377 (2010) |
| 47 | | Nizar Bouguila,
Djemel Ziou:
A Dirichlet process mixture of generalized Dirichlet distributions for proportional data modeling.
IEEE Transactions on Neural Networks 21(1): 107-122 (2010) |
| 46 | | Nizar Bouguila,
Mukti Nath Ghimire:
Discrete visual features modeling via leave-one-out likelihood estimation and applications.
J. Visual Communication and Image Representation 21(7): 613-626 (2010) |
| 45 | | Sabri Boutemedjet,
Djemel Ziou,
Nizar Bouguila:
Model-based subspace clustering of non-Gaussian data.
Neurocomputing 73(10-12): 1730-1739 (2010) |
| 2009 |
|---|
| 44 | | Surath Aebtarm,
Nizar Bouguila:
An optimal bivariate Poisson field chart for monitoring defects.
CCECE 2009: 691-694 |
| 43 | | Ola Amayri,
Nizar Bouguila:
Improved Online Support Vector Machines Spam Filtering Using String Kernels.
CIARP 2009: 621-628 |
| 42 | | Wentao Fan,
Nizar Bouguila:
Generating Video Textures by PPCA and Gaussian Process Dynamical Model.
CIARP 2009: 801-808 |
| 41 | | Ola Amayri,
Nizar Bouguila:
Online spam filtering using support vector machines.
ISCC 2009: 337-340 |
| 40 | | Wentao Fan,
Nizar Bouguila:
Online Video Textures Generation.
ISVC (2) 2009: 450-459 |
| 39 | | Nizar Bouguila,
Khalid Daoudi:
Learning concepts from visual scenes using a binary probabilistic model.
MMSP 2009: 1-5 |
| 38 | | Nizar Bouguila,
Khalid Daoudi:
A Statistical Approach for Binary Vectors Modeling and Clustering.
PAKDD 2009: 184-195 |
| 37 | | Nizar Bouguila,
Djemel Ziou:
A Nonparametric Bayesian Learning Model: Application to Text and Image Categorization.
PAKDD 2009: 463-474 |
| 36 | | Nizar Bouguila,
Wentao Fan:
On Video Textures Generation: A Comparison Between Different Dimensionality Reduction Techniques.
SMC 2009: 5134-5139 |
| 35 | | Nizar Bouguila:
A Model-Based Approach for Discrete Data Clustering and Feature Weighting Using MAP and Stochastic Complexity.
IEEE Trans. Knowl. Data Eng. 21(12): 1649-1664 (2009) |
| 34 | | Sabri Boutemedjet,
Nizar Bouguila,
Djemel Ziou:
A Hybrid Feature Extraction Selection Approach for High-Dimensional Non-Gaussian Data Clustering.
IEEE Trans. Pattern Anal. Mach. Intell. 31(8): 1429-1443 (2009) |
| 33 | | Nizar Bouguila,
Ola Amayri:
A discrete mixture-based kernel for SVMs: Application to spam and image categorization.
Inf. Process. Manage. 45(6): 631-642 (2009) |
| 32 | | Nizar Bouguila,
Djemel Ziou,
Riad I. Hammoud:
On Bayesian analysis of a finite generalized Dirichlet mixture via a Metropolis-within-Gibbs sampling.
Pattern Anal. Appl. 12(2): 151-166 (2009) |
| 31 | | Nizar Bouguila,
Walid ElGuebaly:
Discrete data clustering using finite mixture models.
Pattern Recognition 42(1): 33-42 (2009) |
| 2008 |
|---|
| 30 | | Nizar Bouguila,
Walid ElGuebaly:
A Statistical Model for Histogram Refinement.
ICANN (1) 2008: 837-846 |
| 29 | | Nizar Bouguila,
Walid ElGuebaly:
A generative model for spatial color image databases categorization.
ICASSP 2008: 821-824 |
| 28 | | Nizar Bouguila:
Non-Gaussian mixture image models prediction.
ICIP 2008: 2580-2583 |
| 27 | | Waleed Mohamed,
Ying Zhang,
Abdessamad Ben Hamza,
Nizar Bouguila:
Stochastic optimization approach for entropic image alignment.
ISIT 2008: 2126-2130 |
| 26 | | Nizar Bouguila,
Walid ElGuebaly:
On Discrete Data Clustering.
PAKDD 2008: 503-510 |
| 25 | | Nizar Bouguila:
Clustering of Count Data Using Generalized Dirichlet Multinomial Distributions.
IEEE Trans. Knowl. Data Eng. 20(4): 462-474 (2008) |
| 24 | | Mohand Saïd Allili,
Nizar Bouguila,
Djemel Ziou:
Finite general Gaussian mixture modeling and application to image and video foreground segmentation.
J. Electronic Imaging 17(1): 013005 (2008) |
| 2007 |
|---|
| 23 | | Mohand Saïd Allili,
Nizar Bouguila,
Djemel Ziou:
Finite Generalized Gaussian Mixture Modeling and Applications to Image and Video Foreground Segmentation.
CRV 2007: 183-190 |
| 22 | | Mohand Saïd Allili,
Nizar Bouguila,
Djemel Ziou:
A Robust Video Foreground Segmentation by Using Generalized Gaussian Mixture Modeling.
CRV 2007: 503-509 |
| 21 | | Nizar Bouguila,
Djemel Ziou,
Riad I. Hammoud:
A Bayesian Non-Gaussian Mixture Analysis: Application to Eye Modeling.
CVPR 2007 |
| 20 | | Nizar Bouguila:
Spatial Color Image Databases Summarization.
ICASSP (1) 2007: 953-956 |
| 19 | | Sabri Boutemedjet,
Nizar Bouguila,
Djemel Ziou:
Unsupervised Feature and Model Selection for Generalized Dirichlet Mixture Models.
ICIAR 2007: 330-341 |
| 18 | | Sabri Boutemedjet,
Djemel Ziou,
Nizar Bouguila:
Unsupervised Feature Selection for Accurate Recommendation of High-Dimensional Image Data.
NIPS 2007 |
| 17 | | Sabri Boutemedjet,
Djemel Ziou,
Nizar Bouguila:
A Graphical Model for Content Based Image Suggestion and Feature Selection.
PKDD 2007: 30-41 |
| 16 | | 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) |
| 15 | | 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 |
|---|
| 14 | | Nizar Bouguila,
Djemel Ziou:
Online clustering via finite mixtures of Dirichlet and minimum message length.
Eng. Appl. of AI 19(4): 371-379 (2006) |
| 13 | | 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 | | 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 | | 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 | | Nizar Bouguila,
Djemel Ziou:
On Fitting Finite Dirichlet Mixture Using ECM and MML.
ICAPR (1) 2005: 172-182 |
| 9 | | Nizar Bouguila,
Djemel Ziou:
A probabilistic approach for shadows modeling and detection.
ICIP (1) 2005: 329-332 |
| 8 | | Nizar Bouguila,
Djemel Ziou:
MML-Based Approach for Finite Dirichlet Mixture Estimation and Selection.
MLDM 2005: 42-51 |
| 7 | | Nizar Bouguila,
Djemel Ziou:
A New Approach for High-Dimensional Unsupervised Learning: Applications to Image Restoration.
PReMI 2005: 200-205 |
| 6 | | 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 | | 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 | | 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 | | 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 | | Nizar Bouguila,
Djemel Ziou,
Jean Vaillancourt:
Novel Mixtures Based on the Dirichlet Distribution: Application to Data and Image Classification.
MLDM 2003: 172-181 |
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