Publications

Année 2012:
Revues

  1. Gupta V., , Boulianne G., and Cardinal P. CRIM's content-based audio copy detection system for TRECVID 2009. Multimedia Tools and Applications, 60(2):371{387, September 2012.

     
  2.  M. Ben Salah, I. Ben Ayed, and A. Mitiche, Active Curve Recovery of Region Boundary Patterns, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol.  34, No. 5, pp. 834-849, 2012.                                                                                                                                                                                                                             
  3. I. Ben Ayed, H-M Chen, K. Punithakumar, I. Ross, and S. Li, Max-flow Segmentation of the Left Ventricle by Recovering Subject-Specific Distributions via  a Bound of the Bhattacharyya Measure, Medical Image Analysis,  Vol. 16, No. 1 , pp. 87-100, 2012                                                                                                                                     .
  4. K. Punithakumar, J. Yuan, I. Ben Ayed, S. Li and Y. Boykov, A Convex Max-Flow Approach to Figure-Ground Separation, SIAM Journal of Imaging Sciences, Vol.  5, No. 4, pp. 1333-1354, 2012.                                                                                                                                                                                                                                   
  5. Gupta V., , Boulianne G., and Cardinal P. CRIM's content-based audio copy detection system for TRECVID 2009. Multimedia Tools and Applications, 60(2):371{387, September 2012.                                                                                                                                                                                               
  6. Khreich, W., Granger, E., Miri, A. and Sabourin, R., Adaptive ROC-Based Ensembles of HMMs Applied to Anomaly Detection, Pattern Recognition, v. 45, January 2012, pp. 208-230.
     

  7. Batista, L., Granger, E. and Sabourin, R., Dynamic Selection of Generative-Discriminative Ensembles for Off-Line Signature Verification, Pattern Recognition, vol. 45, No 4, 2012, pp. 1326-1340.
     

  8. Khreich, W., Granger, É., Miri, A. and Sabourin, R., A Survey of Techniques for Incremental Learning of HMM Parameters, Information Sciences 197 (2012), pp. 105-130.
     

  9. Cavalin, P.R, Sabourin, R. and Suen, C.Y., LoGID: An Adaptive Framework Combining Local and Global Incremental Learning for Dynamic Selection of Ensembles of HMMs, Pattern Recognition 45 (2012), pp. 3544–3556.
     

  10. Connolly, J.F., Granger, E. and Sabourin, R., Evolution of Heterogeneous Ensembles Through Dynamic Particle Swarm Optimization for Video-Based Face Recognition, Pattern Recognition, vol 45, Issue 7, July 2012, pp 2460-2477.
     

  11. Connolly, J.F., Granger, E. and Sabourin, R., An Adaptive Classification System for Video-Based Face Recognition, Information Sciences 192 (2012) pp 50-70.
     

  12. G. Latombe, E. Granger, F.A. Dilkes, Graphical EM for On- Line Learning of Grammatical Probabilities in Radar Electronic Support, Applied Soft Computing Journal (2010), doi:10.1016/j.asoc.2012.02.022.
     

  13. Kapp, M., Sabourin, R. and Maupin, P., A Dynamic Model Selection Strategy for Support Vector Machine Classifiers, Applied Soft Computing Journal, vo. 12, No 8, 2012, pp. 2550–2565.
     

  14. Vriesmann, L.M., Britto, A., Oliveira, L., Sabourin, R. and Ko, A., Improving a dynamic ensemble selection method based on oracle information, Int. J. Innovative Computing and Applications (IJICA), Vol. 4, Nos. ¾, 2012, pp 184-200.
     

  15. Granger, E., Khreich, W., Sabourin, R. and Gorodnichy, D.O., Fusion Of Biometric Systems Using Boolean Combination: An Application to Iris-Based Authentification, International Journal of Biometrics (IJBM), vol. 4, No. 3, 2012, pp 291-315.
     

  16. Hanusiak, R.K., Oliveira, L.S., Justino, E. And Sabourin, R., Writer Verification Using Texture-based Features, International Journal on Document Analysis and Recognition, IJDAR, Vol. 15, No. 3, pp. 213-226 (2012).
     

  17. Corriveau, G., Guilbault, R., Tahan, A. and Sabourin, R., Review and Study of Genotypic Diversity Measures for Real-Coded Representations, IEEE Transactions on Evolutionary Computation, Vol 16, No 5, October 2012, pp 695-710.
     


Chapitres de livres  

    Bientôt disponibles


Conférences

  1. Cardinal P., Boulianne G., and Dumouchel P. Using A* for the Parallelization of Speech Recognition Systems. Proceedings of 37th International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2012),
    2012.

     
  2. Cardinal P., Boulianne G., and Dumouchel P. The A* Speech Recognition System on Parallel Architectures. Proceedings of 11th International Conference on Information Science, Signal Processing and their Aapplication
    (ISSPA 2012), 2012.

     
  3. I. Ben Ayed, K. Punithakumar, R. Minhas, R. Joshi and G. J. Garvin,   Vertebral Body Segmentation in MRI via Convex Relaxation and Distribution Matching,Medical Image Computing and Computer-Assisted Intervention (MICCAI), Vol. LNCS 7510, pp. 520-527, Nice, France, 2012.                                                                                                                                                                                                                            
  4. K. Punithakumar, I. Ben Ayed, A. Islam, A. Goela and S. Li, Regional Heart Motion Abnormality Detection via Multiview Fusion, Medical Image Computing and Computer-Assisted Intervention (MICCAI), Vol. LNCS 7511, pp. 527-534 Nice, France, 2012.                                                                                                                                                    
  5. M. Afshin, I. Ben Ayed, A. Islam, A. Goela, T. M. Peters and S. Li, Global Assessment of Cardiac Function Using Image Statistics in MRI, Medical Image Computing and Computer-Assisted Intervention (MICCAI), Vol. LNCS 7511, pp. 535-543, Nice, France, 2012.                                                                                                                                                                                                                                                                              
  6. M. Toews, W. Wells III, L. Zollei. A Feature-based Developmental Model of the Infant Brain in Structural MRI. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2012.                                                                                                                                                                                        
  7. Cardinal P., Boulianne G., and Dumouchel P. Using A* for the Parallelization of Speech Recognition Systems. Proceedings of 37th International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2012), 2012.

     
  8. Cardinal P., Boulianne G., and Dumouchel P. The A* Speech Recognition System on Parallel Architectures. Proceedings of 11th International Conference on Information Science, Signal Processing and their Aapplication
    (ISSPA 2012), 2012.

     
  9. Coetzer, J., Swanepoel, J. and Sabourin, R., Efficient Cost-sensitive Human-machine Collaboration for Offline Signature Verification, Proc. SPIE 8297, doi:10.1117/12.910460, Wednesday 25 January 2012, Burlingame, California, USA. Document Recognition and Retrieval XIX, Christian Viard-Gaudin, Richard Zanibbi.
     

  10. Pagano, C., Granger, E., Sabourin, R. and Gorodnichy, D., Detector Ensembles for Face Recognition in Video Surveillance, 2012 International Joint Conference on Neural Networks (IJCNN 2012), doi:10.1109/IJCNN.2012.6252659.
     

  11. De la Torre, M., Granger, E., Radtke, P. V. W., Sabourin, R. and Gorodnichy, D., Incremental Update of Biometric Models in Face-Based Video Surveillance, 2012 International Joint Conference on Neural Networks (IJCNN 2012), doi:10.1109/IJCNN.2012.6252658.

     
  12. Vellasques, E., Sabourin, R. and Granger, E., Gaussian mixture modeling for dynamic particle swarm optimization of recurrent problems, Genetic and Evolutionary Computation Conference (GECCO 2012), July 07-11, 2012, Philadelphia, USA, pp. 73-80. This paper won the best-paper award of the track "Ant Colony Optimization and Swarm Intelligence" at the GECCO 2012.
     

  13. Lévesque, J.C., Durand, A., Gagné, C. and Sabourin, R., Multi-Objective Evolutionary Optimization for Generating Ensembles of Classifiers in the ROC Space, Genetic and Evolutionary Computation Conference (GECCO 2012), July 07-11, 2012, Philadelphia, USA, pp. 879-886.
     

  14. Marcialis, G. L., Didaci, L., Pisano, A., Granger, E. and Roli, F., Why Template Self-Update Should World in Biometric Authentication Systems?, International Symposium on Signal Processing and its Applications 2012 (ISSPA 2012), accepted for publication.
     

  15. Eskander, G.S., Sabourin, R. and Granger, E., Adaptation of Writer-Independent Systems for Offline Signature Verification, The 13th International Conference on Frontiers in Handwriting Recognition (ICFHR-2012), Bari, Italy, September 18-20, 2012, pp 432-437. This paper won the International Graphonomics Society Best student paper award at the ICFHR 2012.
     

  16. De la Torre, M., Granger, E., Radtke, P. V. W., Sabourin, R. and Gorodnichy, D., A Comparison of Adaptive Matchers for Screening of Faces in Video Surveillance, 2012 IEEE Symposium on Computational Intelligence for Security and Defence Applications (CISDA), Ottawa, Canada, 11-13 July 2012, doi:10.1109/CISDA.2012.6291529.
     

  17. Connolly, J.F., Granger, É. and Sabourin, R., On the correlation between genotype and classifier diversity, 21th International Conference on Pattern Recognition, Tsukuba Science city, Japan, November 11-15, 2012.
     

  18. Radtke, P.V.W, Granger, E., Sabourin, R. and Gorodnichy, D., Adaptive Selection of Ensembles for Imbalanced Class Distributions,21th International Conference on Pattern Recognition, Tsukuba Science city, Japan, November 11-15, 2012.
     

  19. Martins, J., Oliveira, L.S. and Sabourin, R., Combining Textural Descriptors for Forest Species Recognition, 38th Annual Conference of the IEEE Industrial Electronics Society (IECON 2012), Montreal Canada, October 25-28, 2012.
     

  20. Batista, L., Badri, B., Sabourin, R. and Thomas, M., Detecting Bearing Defects under High Noise Levels: A Classifier Fusion Approach, 38th Annual Conference of the IEEE Industrial Electronics Society (IECON 2012), Montreal Canada, October 25-28, 2012.
     

  21. Rattani, A., Marcialis, G. L., Granger, E., and Roli, F., A dual-staged classification-selection approach for automated update of biometric templates,, 21th International Conference on Pattern Recognition, Tsukuba Science city, Japan, November 11-15, 2012.
     

  22. Ribas, F.C., Oliveira, L.S., Britto Jr., A. and Sabourin, R., Assessing Handwitten Digit Segmentation Algorithms, Proceedings of the 27th Annual ACM Symposium on Applied Computing (SAC'2012), Riva del Garda, Italy, March 26-30, 2012, pp 772-776.
     

  23. García-Cano C. E.,  Rabil B. G. and  Sabourin R. , A parallel watermarking application on a GPU, III National and II International Congress in Research on New Information Technologies (CIINTI 2012) ISBN - 978-958-8561-62-2, Tunja, Colombia, September 2012.