Publications

Année 2007:

<< Retour
 

Revues

  1. M. Toews and T. Arbel. A Statistical Parts-based Appearance Model of Anatomical Variability.  IEEE Transactions on Medical Imaging, Special Issue on Computational Neuroanatomy, Vol. 26(4), pp. 497-508, 2007. Impact Factor: 4.027                                                                                                                                                           
  2. Kapp, M. N., Freitas, C.O.A., Sabourin, R., Methodology for the Design of NN-based Month-Word Recognizers Written on Brazilian Bank Checks, International Journal of Image and Vision Computing, vol. 25, no 1, 2007, pp. 40-49.
     

  3. Ko, A., Sabourin, R., Britto Jr, A., Oliveira, L., Pairwise Fusion Matrix for Combining Classifiers, Pattern Recognition, vol. 40, 2007, pp. 2198-2210.
     

  4. Côté P., Parrott L., Sabourin R., Multi-objective optimization of an ecological assembly model, Ecological Informatics, vol.2, 2007, pp. 23-31.
     

  5. Adankon, M. M., Cheriet, M., Optimizing Resources in Model Selection for Support Vector Machines, Pattern Recognition Journal, vol. 40, 2007, pp. 953-963.
     

  6. Granger, E., Henniges, P., Sabourin, R., Oliveira, L., Supervised Learning of Fuzzy ARTMAP Neural Networks Through Particle Swarm Optimisation, Journal of Pattern Recognition Research, vol. 1, 2007, pp. 27-60.
     

  7. Chion, C., Landry, J.-A., Da Costa, L. E., A Genetic Programming Based Method for Hyperspectral Data Information Extraction , IEEE Transactions on Geoscience and Remote Sensing, 2007.
     

  8. Saryazdi S., Cheriet M., PKCS: A Polynomial Kernel Family with Compact Support for Scale Space Image Processing , , IEEE T-IP, 16 (9), 2299-2308, 2007.
     

  9. Seddik H., Sayadi M., Fnaiech F., Cheriet M., A new Multi-Domains Image Watermarking Method Based on Multi-Watermarks Embedding and Neural Network Segmentation , Journal of Applied Mathematical Sciences, vol. 1, no. 39, 1927 - 1939, 2007.
     

  10. Latombe G., Granger E., Dilkes F., Incremental Derivations of Graphical EM for Fast Learning Grammatical Probabilities in Radar Electronic Support , Signal Processing, In Press.
     

  11. Piccand S., Noumeir R., Paquette E., Region of interest and multi-resolution for volume rendering , IEEE Transactions on Technology in Biomedicine, In Press.
     

  12. Noumeir R., Integrating the Healthcare Enterprise Process , International Journal of Healthcare Technology and Management, In Press.
     

  13. Haouzia A., Noumeir R., Methods for Image Authentication: A Survey, Multimedia Tools and Application , In Press, available on line through SpringerLink since August 2007.
     


Chapitres de Livre

  1. Wong, T., Cormier, G., Bond, Graph Causality Assignment and Evolutionary Mutli-Objective Optimization, In Advances and Innovations in Systems, Computing Sciences and Software Engineering, Elleithy K., editor, Springer, 2007, pp. 433-438.
     

  2. Barrette, M., Wong, T., De Kelper, B., Statistical Comparison of Evolutionary Algorithms, In Intelligent Engineering Systems Through Artificial Neural Networks, Dagli, C., Buczak, A., Enke, D., Embrechts, M., Ersoy, O., eds., ASME Press, 2007, pp. 237-245.
     

  3. Cheriet M., Kharma N., Sridhar M., Suen C.Y., Character Recognition Systems, a Textbook for Students and Practitioners, John Wiley & Sons Inc., 360 pages, October 2007.
     


Conferences

  1. M. Toews and T. Arbel. Detecting, Localizing and Classifying Visual Traits from Arbitrary Viewpoints using Probabilistic Local Feature Modeling. IEEE Workshop on Analysis and Modeling of Faces and Gestures, 2007.                                                                                                                                                                                               
  2. M. Toews and T. Arbel.  Detecting and Localizing 3D Object Classes using Viewpoint Invariant Reference Frames. ICCV Workshop on 3D Representation for Recognition, 2007.                                                                                                                                                                                                                                                                                 
  3. Cardinal P., Boulianne G., Comeau M., and Boisvert M. Real-Time Correction of Closed-Captions. Proceedings of the 45th Annual Meeting of the Association for Computational Linguistics (ACL 2007), 2007.

     
  4. Ko, A., Sabourin, R., Britto Jr, A., A New HMM-Based Ensemble Generation Method for Character Recognition , 7th Intl. Workshop on Multiple Classifier Systems, Czech Academy of Sciences, Prague, Czech Republic, May 23-25, 2007, pp 52-61.
     

  5. Ko, A., Sabourin, R., Britto Jr, A., A New Dynamic Ensemble Selection Method for Numeral Recognition , 7th Intl. Workshop on Multiple Classifier Systems, Czech Academy of Sciences, Prague, Czech Republic, May 23-25, 2007, pp. 302-311.
     

  6. Ko, A., Sabourin, R., Britto Jr, A., Applying Pairwise Fusion Matrix on Fusion Functions for Classifier Combination , 7th Intl. Workshop on Multiple Classifier Systems, Czech Academy of Sciences, Prague, Czech Republic, May 23-25, 2007, pp. 431-439.
     

  7. Dos Santos, E. M., Sabourin, R., Maupin, P., Ambiguity-guided Dynamic Selection of Ensemble Classifiers, 10th International Conference on Information Fusion (Fusion 2007), Québec, QC, Jul. 9-12, 2007.
     

  8. Kapp, M. N., Sabourin, R., Maupin, P., An Empirical Study on Diversity Measures and Margin Theory for Ensembles of Classifiers , 10th International Conference on Information Fusion (Fusion 2007), Québec, QC, Jul. 9-12, p. 1-8, 2007.
     

  9. Radtke, P. V. W., Sabourin, R., Wong, T., Annealing Based Approach to Optimize Classification System, International Joint Conference on Neural Networks (IJCNN'07) 2007, Orlando, FL, Aug. 12-17, 2007, pp. 2616-2620.
     

  10. Freitas, C., Carvalho, J., Oliveira Jr, J., Aires, S. and Sabourin, R., Distance-based Disagreement Classifiers Combination ,International Joint Conference on Neural Networks (IJCNN '07) 2007, Orlando, FL, Aug. 12-17, 2007, pp. 2729-2733.
     

  11. Oliveira, L., Justino, E., Sabourin, R., Off-line Signature Verification Using Writer-Independent Approach ,International Joint Conference on Neural Networks (IJCNN '07) 2007, Orlando, FL, Aug. 12-17, 2007, pp. 2539-2544.
     

  12. Adankon, M. M., Cheriet, M., Learning Semi-supervised SVM with Genetic Algorithm , International Joint Conference on Neural Networks 2007, Orlando, FL, Aug. 12-17, 2007.
     

  13. Radtke, P. V. W., Sabourin, R., Wong, T., A Quantitative Comparison Between MOGAs and the RRT Algorithm on Classification Systems Optimization , Encontro Nacional de Inteligência Aritificial (ENIA)- Congresso da SBC, 2007, Rio de Janeiro, 2007, pp 1460-1468.
     

  14. Barrette, M., Wong, T., Evolutionary algorithms performance evaluation using rank-based multiple comparison procedure , 11th World Multi-Conference on Systemics, Cybernetics and Informatics, Orlando, Florida, July 8 -11, 2007,pp. 35-40.
     

  15. Ma, I., Wong, T., Sankar, T., Volatility Forecasting using Time Series Data Mining and Evolutionary Computation Techniques , Genetic and Evolutionary Computation Conference (GECCO 2007), London, July 7-11, 2007, p. 2262.
     

  16. Chion, C., Turgeon, S., Parrott, L., Landry, J.-A., Marceau, D., Michaud, R., Cantin, G., Dionne, S., Agent-Based Modelling of Cruise Operator Behaviour , International Conference on Complex Systems (ICCS 07), Boston, MA, USA, October 28-November 2, 2007.
     

  17. Freitas, C.O.A., de Carvalho, J.M., Oliveira Jr., J.J., Aires, S.B.K. and Sabourin, R., Confusion Matrix Disagreement for Multiple Classifiers , CIARP 2007, LNCS 4756, 2007, pp. 387-396.
     

  18. Coetzer, H. and Sabourin, R., A Human-Centric Off-Line Signature Verification System , 9th Intl. Conf. on Document Analysis and Recognition 2007 (ICDAR2007), Curitiba, Brazil, Volume 1, 23-26 Sept. 2007 pp. 153-157.
     

  19. Ko, A.H.-R., Sabourin, R. and Britto Jr., A., K-Nearest Oracle for Dynamic Ensemble Selection, 9th Intl. Conf. on Document Analysis and Recognition 2007 (ICDAR2007), Curitiba, Brazil, Volume 1, 23-26 Sept. 2007 pp. 422-426.
     

  20. Menasri F., Cheriet M., Vincent N., Shape-based Alphabet for Off-line Arabic Handwriting Recognition, IAPR International Conference on Document Analysis and Recognition, Curitiba, September 2007.
     

  21. Rivest-Hénault D., Cheriet M., Image segmentation using level set and local linear approximations, ICIAR 2007, LNCS 4633, pp. 234-245, 2007. (c) Springer-Verlag Berlin Heidelberg 2007.
     

  22. Doré V., Duong L., Cheriet F., M. Cheriet, Towards Automatic Detection of Pedicles on X-Ray, ICIAR 2007, LNCS 4633, pp.1028-1039 (c) Springer-Verlag Berlin Heidelberg 2007.
     

  23. Chherawala, Y., Gagnon, O., Lepage, R., et Doyon, G., Impact de la variation des paramètres scéniques sur la fidélité colorimétrique d'images numériques de denrées alimentaires, dans Actes des 5e ateliers sur Traitement et Analyse de l'Information : Méthodes et Applications (TAIMA' 07), 2007, tenue à Hammamet (Tunisie), 23-26 mai, p. 325-330.
     

  24. Wong, T., Cormier, G., Bond, Graph Causality Assignment and Evolutionary Mutli-Objective Optimization, In Advances and Innovations in Systems, Computing Sciences and Software Engineering, Elleithy K., editor, Springer, 2007, pp. 433-438.
     

  25. Da Costa, L., Landry, J.A., Levasseur, Y, Treating Noisy Data Sets with Relaxed Genetic Programming, Evolution Artificielle 2007. Proceeding of the 8th International Conference on Artificial Evolution. October 29-31, 2007. Tours, France.
     

  26. Barry-Camerra M., Granger E., Face Recognition in Video Using a What-and-Where Fusion Neural Network, International Joint Conference on Neural Networks (IJCNN '07) 2007, Orlando, FL, Aug. 12-17, 2007.
     

  27. Barry-Camerra M., Granger E., Comparison of ARTMAP Neural Networks for Classification for Face Recognition from Video, In the International Conference on Image Analysis and Recognition (ICIAR), Montréal, Canada, 2007.
     

  28. Latombe G., Granger E., Dilkes F., Fast Incremental Learning of SCFGs with Graphical EM in Radar Electronic Support, Int'l Conference on Acoustics, Speech, and Signal Processing (ICASSP), Honolulu, USA, 15-20 avril, 2007.