Publications

Année 2009:
<< Retour

Revues  

  1. M. Toews and T. Arbel. Detection, Localization and Sex Classification of Faces from Arbitrary Viewpoints and Under Occlusion. IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 31(9), pp. 1567-1581, 2009. Impact Factor: 4.795                                                                                                                                                   
  2. Ko, A., Sabourin, R., Britto Jr, A., Ensemble of HMM classifiers based on the Clustering Validity Index for a Handwritten Numeral Recognizer, Pattern Analysis and Applications Journal, no. 12, 2009, pp. 21-35.
       

  3. Latombe G., Granger E., Dilkes F., Fast Incremental Learning of Grammatical Probabilities in Radar Electronic Support, to appear in IEEE Trans. Aerospace and Electronic Systems, 2009.
     

  4. Ko, A., Sabourin, R., Britto Jr, A., Compound Diversity Functions for Ensemble Selection , International Journal of Pattern Recognition and Artificial Intelligence, IJPRAI, vol. 23, no. 4, pp. 659-686, 2009.
     

  5. Radtke, P.V., Sabourin, R., Wong, T., Solution Over-fit Control in Evolutionary Multi-objective Optimization of Pattern Classification Systems , International Journal of Pattern Recognition and Artificial Intelligence, IJPRAI, vol. 23, no. 6, pp. 1107-1127.
     

  6. Ko, A., Cavalin P., Sabourin, R., Britto Jr, A., Leave-One-Out-Training and Leave-One-Out-Testing Hidden Markov Models for a Handwritten Numeral Recognizer: the Implication of a Single Classifier and Multiple Classifications , IEEE Transactions on PAMI, vol. 31, No 12, 2009, pp. 2168-2178.
     

  7. Cavalin P.R., Sabourin R., Suen C.Y., Britto Jr., A.S., Evaluation of Incremental Learning Algorithms for HMM in the Recognition of Alphanumeric Characters , Pattern Recognition, v.42, pp. 3241-3253, 2009.
     

  8. Dos Santos, E.M., Sabourin, R., and Maupin, P., Overfitting-Cautious Selection of Ensembles of Classifiers with Genetic Algorithms based on Complexity, Diversity and Accuracy Criteria , Journal of Information Fusion, no.10, 2009, pp. 150-162.
     

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

  10. Bengharabi M., Mezai L., Harizi F., Guessoum A., Cheriet M., 2DPCA based techniques in DCT domain for face recognition , (Accepted: Minor Revision, September 2008), Intelligent Systems Technologies and Applications.
     

  11. Fnaiech N., Fnaiech F., Jervis B.W., and Cheriet M., SSIP: The Combined Statistical Stepwise and Iterative Neural Network Pruning Algorithm , Intelligent Automation and Soft Computing, Vol. 15, No. 4, pp. 573-589, 2009.
     

  12. Bergamini, C., Oliveira, L.S., Koerich, A.L. and Sabourin, R., Combining Different Biometric Traits with One-Class Classification, Signal Processing, v. 89, pp. 2117-2127, 2009.
     


Chapitres de Livre  

  1. M. Toews and T. Arbel. Chapter 10: Parts-based Modeling of Medical Imagery. Computational Intelligence in Medical Imaging: Tools and Applications. CRC Press, Editors G. Schaefer, A. Hassanien, J. Jiang. February, pp. 291-326, 2009.                                                                                                                                       

Conferences

  1. Marco Pedersoli, Jordi GonzÃlez, J.J. Villanueva, High-Speed Human Detection Using a Multiresolution Cascade of Histograms of Oriented Gradients, IbPRIA, June 2009. 

     
  2. M. Toews, William M. Wells III, D. Louis Collins and T. Arbel. Feature-based Morphometry. International Conference on Medical Image Computing and Computer Assisted Intervention, 2009.                                                                                                                                                                                                                    
  3. M. Toews and William Wells III. Bayesian Registration via Local Image Regions: Information, Selection and Marginalization. Image Processing in Medical Imaging, 2009.                                                                                                                                                                                                                                                            
  4. M. Toews and William Wells III. SIFT-Rank: Ordinal Descriptors for Invariant Feature Correspondence. International Conference on Computer Vision and Pattern Recognition, 2009.                                                                                                                                                                                                                                 
  5. M. Toews, D. Louis Collins and T. Arbel.  Automatically Learning Cortical Folding Patterns. IEEE International Symposium on Biomedical Imaging, 2009.                                                                         
  6. Pimenta, A., Justino, E., Oliveira, L.S. and Sabourin, R., Document Reconstruction Using Dynamic Programming , IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2009), April 19-24, 2009, Taipei, Taiwan.
     

  7. Khreich, W., Granger, E., Sabourin, R. and Miri, A., Combining Hidden Markov Models for Improved Anomaly Detection , IEEE International Conference on Communications (ICC'09), Dresden, Germany, June 14-18, 2009, pp. 1-6.
     

  8. Kapp, M., Sabourin, R. and Maupin, P., A PSO-Based Framework for Dynamic SVM Model Selection , Genetic and Evolutionnary Computation (GECCO 2009), Montreal, Canada, July 8-12, pp. 1227-1234, 2009.
     

  9. Batista, L., Granger, E. and Sabourin, R., A Multi-Hypothesis Approach for Off-Line Signature Verification with HMMs , 10th Intl. Conf. on Document Analysis and Recognition 2009 (ICDAR2009), Barcelona, Spain, July 26-29, pp. 666-670, 2009.
     

  10. Santos, M., Ko, A., Oliveira, L.S., Sabourin, R., Koerich, A. and Britto Jr, A., Evaluation of different strategies to optimize an HMM-based character recognition system , 10th Intl. Conf. on Document Analysis and Recognition 2009 (ICDAR2009), Barcelona, Spain, July 26-29, pp. 1315-1319, 2009.
     

  11. Connolly, J.F., Granger, E. and Sabourin, R., Incremental Adaptation of Fuzzy ARTMAP Neural Networks for Video-Based Face Classification , IEEE Symposium: Computational Intelligence for Security and Defence Applications (CISDA), Ottawa, Canada, 8-10 july, 2009.
     

  12. Khreich, W., Granger, E., Sabourin, R. and Miri, A., A Comparison of Techniques for Online Incremental Learning of HMM Parameters in Anomaly Detection , IEEE Symposium: Computational Intelligence for Security and Defence Applications (CISDA), Ottawa, Canada, 8-10 July, 2009.
     

  13. Dubois, D., Lepage, R. et Tanzi, T., Toward a GUI Remote-Sensing Environment Built over OTB ,IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2009), 2009, Cape Town, South Africa, 13-17 July.
     

  14. De Oliveira Jr., J.J., Freitas, C.O. de A., de Carvalho, J.M. and Sabourin, R., Handwritten Word Recognition Using Multi-View Analysis , 14th Iberoamerican Congress on Pattern Recognition, Guadalajara, México, 15-18 November 2009.