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Publications of Nizar Bouguila

Academic Journals

  1. N. Bouguila, “Bayesian Hybrid Generative Discriminative Learning Based on Finite Liouville Mixture Models”,  Pattern Recognition, Vol. 44, No. 6, pp. 1183-1200, June 2011.

  2. C. K. Chung, N. Bouguila and D. Ziou, “Quantization-Free Parameter Space Reduction in Ellipse Detection”, Expert Systems With Applications, Vol. 38, No. 6, pp. 7622-7632, June 2011.

  3. S. Aebtarm and N. Bouguila, “An Empirical Evaluation of Attribute Control Charts for Monitoring Defects”, Expert Systems With Applications, Vol. 38, No. 6, pp. 7869-7880, June 2011.

  4. T. Elguebaly and N. Bouguila, “Bayesian Learning of Finite Generalized Gaussian Mixture Models on Images”, Signal Processing, Vol. 91, No. 4, pp. 801-820, April 2011.

  5. N. Bouguila, “Count Data Modeling and Classification Using Finite Mixtures of Distributions”, IEEE Transactions on Neural Networks, Vol. 22, No. 2, pp. 186-198, February 2011.

  6. M. S. Allili, D. Ziou, N. Bouguila and S. Boutemedjet, “Image and Video Segmentation by Combining Unsupervised Generalized Gaussian Mixture Modeling and Feature Selection”, IEEE Transactions on Circuits and Systems for Video Technology, Vol. 20, No. 10, pp. 1373-1377, October 2010.

  7. N. Bouguila and M. N. Ghimire, “Discrete Visual Features Modeling via Leave-One-Out Likelihood Estimation and Applications”, Journal of Visual Communication and Image Representation, Vol. 21, No. 7, pp. 613-626, October 2010.

  8. S. Aebtarm and N. Bouguila, “An Optimal Bivariate Poisson Field Chart for Controlling High-Quality Manufacturing Processes”, Expert Systems With Applications, Vol. 37, No. 7, pp. 5498-5506, July 2010.

  9. O. Amayri and N. Bouguila, “A Study of Spam Filtering Using Support Vector Machines”, Artificial Intelligence Review, Vol. 34, No. 1, pp. 73-108, June 2010.

  10. S. Boutemedjet, and D. Ziou and N. Bouguila, “Model-Based Subspace Clustering of Non-Gaussian Data”, Neurocomputing, Vol. 73, No. 10-12, pp. 1730-1739, June 2010.

  11. N. Bouguila and W. ElGuebaly, “Integrating Spatial and Color Information in Images Using A Statistical Framework”, Expert Systems With Applications, Vol. 37, No. 2, pp. 1542-1549, March 2010.

  12. N. Bouguila, J. H. Wang and A. Ben Hamza, “Software Modules Categorization Through Likelihood and Bayesian Analysis of Finite Dirichlet Mixtures”, Journal of Applied Statistics, Vol. 37, No. 2, pp. 235-252, February 2010.

  13. N. Bouguila, “On Multivariate Binary Data Clustering and Feature Weighting”, Computational Statistics and Data Analysis, Vol. 54, No. 1, pp. 120-134, January 2010.

  14. N. Bouguila and D. Ziou: “A Dirichlet Process Mixture of Generalized Dirichlet Distributions for Proportional Data Modeling”, IEEE Transactions on Neural Networks, Vol. 21, No. 1, pp. 107-122, January 2010.

  15. N. Bouguila, “A Model-Based Approach for Discrete Data Clustering and Feature Weighting Using MAP and Stochastic Complexity”, IEEE Transactions on Knowledge and Data Engineering, Vol. 21, No. 12, pp. 1649-1664, December 2009.

  16. N. Bouguila and O. Amayri, “A Discrete Mixture-Based Kernel for SVMs: Application to Spam and Image Categorization”, Information Processing & Management, Vol. 45, No. 6, pp. 631-642, November 2009.

  17. S. Boutemedjet, N. Bouguila and D. Ziou: “A Hybrid Feature Extraction Selection Approach for High-Dimensional Non-Gaussian Data Clustering”, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 31, No. 9, pp. 1429-1443, August 2009.

  18. N. Bouguila, D. Ziou, and R. I. Hammoud, “On Bayesian Analysis of a Finite Generalized Dirichlet Mixture Via a Metropolis-within-Gibbs Sampling”, Pattern Analysis & Applications, Vol. 12, No. 2, pp. 151-166, June 2009.

  19. D. Ziou, N. Bouguila, M. S. Allili and A. El Zaart, “Finite Gamma Mixture Modeling Using Minimum Message Length Inference: Application to SAR Image Analysis”, International Journal of Remote Sensing, Vol. 30, No. 3, pp. 771-792, February 2009.

  20. N. Bouguila and W. ElGuebaly, “Discrete Data Clustering Using Finite Mixture models”, Pattern Recognition, Vol. 42, No. 1, pp. 33-42, January 2009.  

  21. N. Bouguila, “Clustering of Count Data Using Generalized Dirichlet Multinomial Distributions”, IEEE Transactions on Knowledge and Data Engineering, Vol. 20, No. 4, pp. 462-474, April 2008.  

  22. M.S. Allili, N. Bouguila, and D. Ziou, “Finite General Gaussian Mixture Modeling and Application to Image and Video Foreground Segmentation”,  Journal of Electronic Imaging,  Vol. 17, 013005, January-March, 2008.

  23. N. Bouguila and D. Ziou: “High-Dimensional Unsupervised Selection and Estimation of a Finite Generalized Dirichlet Mixture Model Based on Minimum Message Length”, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 29, No. 10, pp. 1716-1731, October 2007.

  24. N. Bouguila and D. Ziou: “Unsupervised Learning of a Finite Discrete Mixture: Applications to Texture Modeling and Image Databases Summarization”, Journal of Visual Communication and Image Representation, Vol. 18, No. 4, pp. 295-309, August 2007.

  25. N. Bouguila and D. Ziou: “A Hybrid SEM Algorithm for High-Dimensional Unsupervised Learning Using a Finite Generalized Dirichlet Mixture”, IEEE Transactions on Image Processing, Vol. 15., No. 9, pp. 2657-2668, September 2006.  

  26. N. Bouguila and D. Ziou: “Unsupervised Selection of a Finite Dirichlet Mixture Model: An MML-Based Approach”, IEEE Transactions on Knowledge and Data Engineering, Vol. 18., No. 8, pp. 993-1009, August 2006.    

  27. N. Bouguila and D. Ziou: “Online Clustering  via Finite Mixtures of Dirichlet and Minimum Message Length”, Engineering Applications of Artificial Intelligence, Special Issue: Machine Learning and Data Mining, Vol. 19, No. 4, pp. 371-379, June 2006. (Invited Paper)

  28. N. Bouguila, D. Ziou and E. Monga: “Practical Bayesian Estimation of a Finite Beta Mixture Through Gibbs Sampling and its Applications”, Statistics and Computing, Vol. 16., No. 2, pp. 215-225, June 2006.    

  29. N. Bouguila and D. Ziou: “Using Unsupervised Learning of a Finite Dirichlet Mixture Model to Improve Pattern Recognition Applications”, Pattern Recognition Letters, Special Issue: Artificial Neural Networks in Pattern Recognition, Vol. 26, No. 12, pp. 1916-1925, September 2005. (Invited Paper)

  30. N. Bouguila, D. Ziou and J. Vaillancourt: “Unsupervised Learning of a Finite Mixture Model Based on the Dirichlet Distribution and Its Application”, IEEE Transactions on Image Processing, Vol. 13, No. 11, pp. 1533-1543, November 2004.

Book Chapters

  1. T. Elguebaly and N. Bouguila, “A Bayesian Method for Infrared Face Recognition”, in Machine Vision Beyond Visible Spectrum, R. I. Hammoud, G. Fan, R. McMillan, and  K. IKeuchi, editors, pp. 123-138 , Springer, 2011.

  2. J. H. Wang, N. Bouguila and T. Bdiri, “Empirical Evaluation of Selected Algorithms for Complexity-Based Classification of Software Modules and a New Model”, in Intelligent Systems: From Theory to Practice, V. Sgurev et al. (Eds.), pp. 99-131, Springer, 2010.

  3. N. Bouguila, R. I. Hammoud and D. Ziou, “Advanced Off-Line Statistical Modeling of Eye and Non-Eye Patterns”, in Passive Eye Monitoring Algorithms, Applications and Experiments, R. I. Hammoud, editor, pp. 55-81, Springer, 2008.

Papers in Conference  and Workshop Proceedings (Selection)

  1. T. Elguebaly and N. Bouguila, “A Nonparametric Bayesian Approach for Enhanced Pedestrian Detection and Foreground Segmentation, Proc. Of the 8th IEEE Workshop on Object Tracking and Classification Beyond the Visible Spectrum (OTCBVS’11), pp. 21-26, Colorado Springs, USA, June 25, 2011.

  2. N. Bouguila, “A Liouville-Based Approach for Discrete Data Categorization”, Proc. Of the 13th International Conference on Rough Sets, Data Mining, Fuzzy Sets and Granular Computing   (RSFDGrC-2011),  Lecture Notes in Artificial Intelligence 6743, Springer, pp. 330-337, Moscow, Russia, June 25-27, 2011.

  3. T. Bdiri and N. Bouguila, “Learning Inverted Dirichlet Mixtures for Positive Data Clustering”, Proc. Of the 13th International Conference on Rough Sets, Data Mining, Fuzzy Sets and Granular Computing   (RSFDGrC-2011),  Lecture Notes in Artificial intelligence 6743, Springer, pp. 265-272, Moscow, Russia, June 25-27, 2011.

  4. N. Bouguila, D. Ziou and S. Boutemedjet, “Simultaneous Non-Gaussian Data Clustering, Feature Selection and Outliers Rejection”, Proc. Of the 4th International Conference on Pattern Recognition and Machine Intelligence, (PreMI-2011), Lecture Notes in Computer Science 6744, Springer, pp. 364-369, Moscow, Russia, June 27- July 1, 2011.

  5. T. Elguebaly and N. Bouguila, “Infinite Generalized Gaussian Mixture Modeling”, Proc. Of the International Conference on Image Analysis and Recognition (ICIAR2011), Lecture Notes in Computer Science 6753, Springer, pp. 201-210, Burnaby, BC, Canada, June 22-24, 2011.

  6. N. Bouguila, “Shape Modeling and Categorization Using Fisher Kernels”, Proc. Of 2nd International Conference on Multimedia Computing and Systems (ICMCS’11), pp. 1-6, Ouarzazate, Morocco, April 7-9, 2011.

  7. T. Elguebaly and N. Bouguila, “A Bayesian Approach for Texture Images Classification and Retrieval”, Proc. Of 2nd International Conference on Multimedia Computing and Systems (ICMCS’11), pp.1-6, Ouarzazate, Morocco, April 7-9, 2011.

  8. A. S. Bakhtiari and N. Bouguila, “A Hierarchical Statistical Model for Object Classification”, Proc. Of the IEEE International Workshop on Multimedia Signal Processing (MMSP'10), pp. 493-498, Saint-Malo, France, October 4-6, 2010.

  9. M. S. Allili, D. Ziou, N. Bouguila and S. Boutemedjet, "Unsupervised Feature Selection and Learning for Image Segmentation", , Proc. Of  the IEEE  Canadian Conference on Computer and Robot Vision, (CRV 2010), pp. 285-292, Ottawa, Canada,  May 31-June 2, 2010. [received Best Vision Paper Award]

  10. T. Elguebaly and N. Bouguila, “'A Bayesian Approach for SAR Images Segmentation and Changes Detection”, Proc. Of 25th Queen's Biennial Symposium on Communications (QBSC2010), pp. 24-27, Queens, Canada, May 12-14, 2010.

  11. T. Elguebaly and N. Bouguila, “Bayesian Learning of Generalized Gaussian Mixture Models on Biomedical Images”, Proc. Of 4th IAPR TC3 International Workshop on Artificial Neural Networks in Pattern Recognition (ANNPR2010), Lecture Notes in Artificial Intelligence 5998, pp. 207-218, Cairo, Egypt, April 11-13, 2010.

  12. W. Fan and N. Bouguila, “Online Video Textures Generation”, Proc. Of the 5th International Symposium on Visual Computing (ISVC2009), Lecture Notes in Computer Science 5876, pp. 450-459, Las Vegas, Nevada, USA, November 30- December 2, 2009.

  13. W. Fan and N. Bouguila, “Generating Video Textures by PPCA and Gaussian Process Dynamical Model”, Proc. Of the 14th Iberoamerican Congress on Pattern Recognition (CIARP2009), Lecture Notes in Computer Science 5856, pp. 801-808, Guadalajara, Jalisco, Mιxico, November 15-18, 2009.

  14. O. Amayri and N. Bouguila, “Improved Online Support Vector Machines Spam Filtering Using String Kernels”, Proc. Of the 14th Iberoamerican Congress on Pattern Recognition (CIARP2009), Lecture Notes in Computer Science 5856, pp. 621-628, Guadalajara, Jalisco, Mιxico, November 15-18, 2009.

  15. N. Bouguila and R. I. Hammoud, “Color Texture Classification by a Discrete Statistical Model and Feature Selection”, Proc. Of the IEEE International Conference on Image Processing, (ICIP2009), pp. 1381-1384, Cairo, Egypt, November 7-11, 2009.

  16. W. Fan and N. Bouguila, “On Video Textures Generation: A Comparison between Different Dimensionality Reduction Techniques”, Proc. Of the IEEE International Conference on Systems, Man, and Cybernetics (SMC2009), pp. 5134-5139, San Antonio, Texas, October 11-14, 2009.

  17. N. Bouguila and K. Daoudi, “Learning Concepts from Visual Scenes Using a Binary Probabilistic Model”, Proc. Of the IEEE International Workshop on Multimedia Signal Processing (MMSP'09), pp. 1-5, Rio De Janeiro, Brazil, October 5-7, 2009.

  18. O. Amayri and N. Bouguila, “Online Spam Filtering using Support Vector Machines”, Proc. Of the IEEE Symposium on Computers and Communications (ISCC2009), pp. 337-340, Sousse, Tunisia, July 5-8, 2009.

  19. S. Aebtarm and N. Bouguila, “An Optimal Bivariate Poisson Field Chart for Monitoring Defects”, Proc. Of the IEEE Canadian Conference on Electrical and Computer Engineering (CCECE'09), pp. 691-694, St. John’s, Canada, May 3-6, 2009.

  20. N. Bouguila and D. Ziou, “A Nonparametric Bayesian Learning Model: Application to Text and Image Categorization”, Proc. Of the Pacific-Asia Conference on Advances on Knowledge Discovery and Data Mining (PAKDD2009), Lecture Notes in Artificial Intelligence 5476, Springer, pp. 463-474, Bangkok, Thailand, April 27-29, 2009.  [Selected for Journal submission]

  21. N. Bouguila and K. Daoudi, “A Statistical Approach for Binary Vectors Modeling and Clustering”, Proc. Of the Pacific-Asia Conference on Advances on Knowledge Discovery and Data Mining (PAKDD2009), Lecture Notes in Artificial Intelligence 5476, Springer, pp. 184-195, Bangkok, Thailand, April 27-29, 2009.

  22. N. Bouguila, “A Data-Driven Mixture Kernel for Count Data Classification Using Support Vector Machines”, Proc. Of the IEEE Workshop on Machine Learning for Signal Processing, (MLSP2008), pp. 26-31, Cancϊn, Mexico, October 16-19, 2008.

  23. N. Bouguila and D. Ziou, “A Dirichlet Process Mixture of Dirichlet Distributions for Classification and Prediction”, Proc. Of the IEEE Workshop on Machine Learning for Signal Processing, (MLSP2008), pp. 297-302, Cancϊn, Mexico, October 16-19, 2008.

  24. N. Bouguila, “Non-Gaussian Mixture Image Models Prediction”, Proc. Of the IEEE International Conference on Image Processing, (ICIP2008), pp. 2580-2583, San Diego, USA, October 12-15, 2008.

  25. N. Bouguila, J. H. Wang and A. Ben Hamza, “A Bayesian Approach for Software Quality Prediction”, Proc. Of the IEEE International Conference on Intelligent Systems (IS’08), Vol. 2, pp. 49-54, Varna, Bulgaria, September 6-8, 2008. [Selected for book chapter submission]

  26. N. Bouguila and W. ElGuebaly, “A Statistical Model for Histogram Refinement”, Proc. Of the  International Conference on Artificial Neural Networks (ICANN2008), Lecture Notes in Computer Science 5163, Springer, pp 837-846, Prague, Czech Republic, September 3-6, 2008.

  27. W. Mohamed, Y. Zhang, A. Ben Hamza and N. Bouguila, “Stochastic Optimization Approach for Entropic Image Alignment”, Proc. Of  the IEEE International Symposium on Information Theory (ISIT2008),  pp 2126-2130, Toronto, Canada, July 6-11, 2008.

  28. N. Bouguila and W. ElGuebaly, “On Discrete Data Clustering”, Proc. Of  the 12th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, (PAKDD2008),  Lecture Notes in Artificial Intelligence 5012, Springer, pp. 503-510, Osaka, Japan, May 20-23, 2008.  

  29. N. Bouguila and W. ElGuebaly, “A Generative Model for Spatial Color Image Databases Categorization”, Proc. Of the IEEE International Conference on Acoustics, Speech, and Signal Processing, (ICASSP2008), pp. 821-824 , Las Vegas, Nevada, USA, March 30-April 4, 2008.

  30. S. Boutemedjet, D. Ziou, and N. Bouguila, “Unsupervised Feature Selection for Accurate Recommendation of High-Dimensional Image Data”, Proc. Of  the Neural Information Processing Systems Conference (NIPS2007), pp. 177-184, Vancouver, Canada, December 3-8, 2007, MIT Press.

  31. N. Bouguila, “A Novel Finite Mixture Model for Count Data Modeling”, Proc. Of the IEEE International Conference on Signal Processing and Communications, (ICSPC07), pp. 17-20, Dubai, United Arab Emirates, November 24-27, 2007.

  32. M.S. Allili, N. Bouguila, and D. Ziou, “Online Video Foreground Segmentation Using Generalized Gaussian Mixture Modeling”, Proc. Of the IEEE International Conference on Signal Processing and Communications, (ICSPC07), pp. 959-962, Dubai, United Arab Emirates, November 24-27, 2007.

  33. S. Boutemedjet, D. Ziou, and N. Bouguila, “A Graphical Model for Content Based Image Suggestion and Feature Selection”, Proc. Of  the 11th European Conference on Principles and Practice of Knowledge Discovery in Databases, (PKDD2007),  Lecture Notes in Artificial Intelligence 4702, Springer, pp. 30-41, Warsaw, Poland, September 17-21, 2007.  

  34. S. Boutemedjet, N. Bouguila, and D. Ziou, “Feature Selection for Non Gaussian Mixture Models”, Proc. Of the IEEE Workshop on Machine Learning for Signal Processing, (MLSP2007), pp. 69-74, Thessaloniki, Greece, August 27-29, 2007.  

  35. S. Boutemedjet, N. Bouguila, and D. Ziou, “Unsupervised Feature and Model Selection For Generalized Dirichlet Mixture Models”, Proc. Of  the International Conference on Image Analysis and Recognition, (ICIAR2007), Lecture Notes in Computer Science 4633, Springer, pp. 330-341, Montreal, Canada, August 22-24, 2007.

  36. N. Bouguila, D. Ziou, and R. I. Hammoud, “A Bayesian Non-Gaussian Mixture Analysis: Application to Eye Modeling”, Proc. Of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, (CVPR'07), pp. 1-8, Minneapolis, Minnesota, USA, June 18-23, 2007.

  37. M.S. Allili, N. Bouguila, and D. Ziou, “Finite Generalized Gaussian Mixture Modeling and Applications to Image and Video Foreground Segmentation”, Proc. Of  the IEEE Fourth Canadian Conference on Computer and Robot Vision, (CRV 2007), pp. 183-190, Montreal, Canada,  May 28-30, 2007. [Allili received IAPR Best Student Paper Award]  

  38. M.S. Allili, N. Bouguila, and D. Ziou, “A Robust Video Foreground Segmentation by Using Generalized Gaussian Mixture Modeling”, Proc. Of  the IEEE Fourth Canadian Conference on Computer and Robot Vision, (CRV 2007), pp. 503-509, Montreal, Canada,  May 28-30, 2007.

  39. N. Bouguila, “Spatial Color Image Databases Summarization”, Proc. Of the IEEE International Conference on Acoustics, Speech, and Signal Processing, (ICASSP2007), pp. 953-956, Honolulu, Hawaii, USA, April 15-20, 2007.

  40. N. Bouguila and D. Ziou, “A New Approach for High-Dimensional Unsupervised Learning: Applications to Image Restoration”, Proc. Of the First International Conference on Pattern Recognition and Machine Intelligence, (PreMI’05), Lecture Notes in Computer Science 3776, Springer, pp. 200-205, Kolkata, India, December 18-22, 2005.

  41. N. Bouguila and D. Ziou, “A Probabilistic Approach for Shadows Modeling and Detection”, Proc. Of the IEEE International Conference on Image Processing, (ICIP2005), pp. 329-332, Genoa, Italy, September 11-14, 2005.  

  42. N. Bouguila and D. Ziou, “On Fitting Finite Dirichlet Mixture using ECM and MML”, Proc. Of the 3rd International Conference on Advances in Pattern Recognition, (ICAPR2005), Lecture Notes in Computer Science 3686, Springer, pp. 172-182, Bath, United Kingdom, August 22-25, 2005.

  43. N. Bouguila and D. Ziou, “MML-Based Approach for Finite  Dirichlet Mixture Estimation and Selection”, Proc. Of 4th International Conference  on Machine  Learning and Data Mining in Pattern Recognition, (MLDM2005), Lecture Notes in Artificial Intelligence 3587, Springer, pp. 42-51, Leipzig, Germany, July 9-11, 2005. [Selected for Journal submission]

  44. N. Bouguila and D. Ziou, “MML-Based Approach for High-Dimensional Unsupervised Learning Using the Generalized Dirichlet Mixture”, Proc. Of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, (CVPR'05), San Diego, CA, USA, June 20-26, 2005.

  45. N. Bouguila and D. Ziou, “Improving Content Based Image Retrieval Systems Using Finite Multinomial Dirichlet Mixture”, Proc. Of the IEEE Workshop on Machine Learning for Signal Processing, (MLSP2004), pp. 23-32, Sγo Luνs, Brazil, 29 September - 1 October 2004.

  46. N. Bouguila  and D. Ziou, “A Powerful Finite Mixture Model Based on the Generalized Dirichlet Distribution: Unsupervised Learning and Applications”,  Proc. Of the IEEE/IAPR 17th International Conference on Pattern Recognition, (ICPR2004), VOL.1, pp. 280-283, Cambridge, United Kingdom, August 23-26,  2004.

  47. D. Ziou and N. Bouguila, “Unsupervised Learning of a Gamma Finite Mixture Using MML: Application to SAR Image Analysis”,  Proc. Of the IEEE/IAPR 17th  International Conference on Pattern Recognition, (ICPR2004), VOL.2, pp. 68-71, Cambridge, United Kingdom, August 23-26,  2004.

  48. N. Bouguila and D. Ziou, "Dirichlet-Based Probability Model Applied to Human Skin Detection", Proc. Of the IEEE International Conference on Acoustics, Speech, and Signal Processing, (ICASSP2004), pp. 521-524, Montreal, Canada, May 17-21, 2004.

    49.

  49. N. Bouguila and D. Ziou, “Unsupervised Learning of a Finite Dirichlet Mixture Model”, Proc. Of the First IAPR-TC3 Workshop on Artificial Neural Networks in Pattern Recognition (ANNPR2003), pp. 185-192, Florence, Italy, September 12-13, 2003. [Selected for Journal submission]

  50. N. Bouguila, D. Ziou and J. Vaillancourt, “Novel Mixtures Based on the Dirichlet Distribution: Application to Data and Image Classification”, Proc. Of 3rd  International Conference  on Machine  Learning and Data Mining in Pattern Recognition, (MLDM2003), Lecture Notes in Artificial Intelligence 2734, Springer, pp. 172-181, Leipzig, Germany, July 5-7, 2003.