Publications

Year 2013:
Journals


  1. Marco Pedersoli, Jordi GonzÃlez, Xu Hu, Xavier Roca, Toward Real-Time Pedestrian Detection Based on a Deformable Template Model, IEEE Transactions on Intelligent Transportation Systems, 15(1), September 2013. 

     
  2. Cardinal P., Dumouchel P., and Boulianne G. Large Vocabulary Speech Recognition on Parallel Architectures. IEEE Transactions on Speech Audio and Language Processing, August 2013.

     
  3. K. Punithakumar, I. Ben Ayed, A. Islam, A. Goela, I. G. Ross, J. Chong and S. Li,Regional Heart Motion Abnormality Detection: An Information Theoretic Approach,Medical Image Analysis, Vol.  17, No. 3, pp. 311-324, 2013. 

     
  4. B. Miles, I. Ben Ayed, M. W. K. Law, G. Garvin, A. Fenster and S. Li, Spine Image Fusion via Graph Cuts, IEEE Transactions on Biomedical Engineering, Vol.  60, No. 7, pp. 1841-1850, 2013.

     
  5. C. M. S. Nambakhsh, J. Yuan, K. Punithkumar, A. Goela, M. Rajchl, T. Peters and I. Ben Ayed, Left Ventricle Segmentation in MRI via Convex Relaxed Distribution  Matching, Medical Image Analysis, Vol.  17, No. 8, pp. 1010-1024, 2013.                                                                                                                                                                                         
  6. Cardinal P., Dumouchel P., and Boulianne G. Large Vocabulary Speech Recognition on Parallel Architectures. IEEE Transactions on Speech Audio and Language Processing, August 2013.                                                                                                                                                                                                                                                           
  7. Corriveau, G., Guilbault, R., Tahan, A. and Sabourin, R., Review of Phenotypic Diversity Formulations for the Development of an Optimizer Diagnostic Tool, Applied Soft Computing, vol 13, Issue 1, January 2013, pp. 9-26.
     

  8. Ko, A.H.R., Sabourin, R. And Gagnon, F., Performance of Distributed Multi-Agent Multi-State Reinforcement Spectrum Management Using Different Exploration Schemes, Expert Systems with Applications, Vol. 40, Issue 10, 2013, pp. 4115-4126.
     

  9. Bertolini, D., Oliveira, L.S., Justino, E. and Sabourin, R., Texture-based Descriptors for Writer Identification and Verification, Expert Systems with Applications 40 (2013) pp. 2069-2080.
     

  10. Cavalin P.R., Sabourin R., and Suen C.Y., Dynamic Selection Approaches for Multiple Classifier Systems, Neural Computing and Applications, Vol. 22, Issue 3-4, 2013, pp. 673-688.
     

  11. Rivard, D, Granger, E and Sabourin, R., Multi-Feature Extraction and Selection in Writer-Independent Offline Signature Verification, International Journal on Document Analysis and Recognition (IJDAR), Vol 16, Issue 1, 2013, pp. 83-103.

     

  12. Cruz, M.O.R., Cavalcanti, G.D.C., Tsang, I.R. and Sabourin, R., Feature Representation Selection Based on Classifier Projection Space and Oracle Analysis, Expert Systems with Applications, Vol. 40, Issue 9, 2013, pp 3813-3827.
     

  13. Ko, A. and Sabourin, R., A Single-Classifier-Based Multiple Classification Scheme for Weak Classifiers: An Experimental Comparison, Expert Systems with Applications, Expert Systems With Applications, Vol. 40, Issue 9, 2013, pp 3606-3622.
     

  14. Vellasques, E., Sabourin, R. and Granger, É., DS-DPSO: a Dual Surrogate Approach for Intelligent Watermarking of Bi-tonal Document Image Streams, Expert Systems with Applications, Vol. 40, No. 13, 2013, pp. 5240-5259. (CRSNG).
     

  15. Martins, J., Oliveira, L.S., Nisgoski,S. and Sabourin, R., A Database for Automatic Classification of Forest Species, Machine Vision and Applications, Vol. 24, Issue 3, 2013, pp. 567-578.
     

  16. Connolly, J.F., Granger, E. and Sabourin, R., Dynamic multi-objective evolution of classifier ensembles for video-based face recognition, Applied Soft Computing, Vol. 13, Issue 6, June 2013, pp. 3149–3166.

     

  17. Vellasques, E., Sabourin, R. and Granger, E., Fast intelligent watermarking of heterogeneous image streams through mixture modeling of PSO populations, Applied Soft Computing, Vol. 13, Issue 6, June 2013, pp. 3130–3148.
     

  18. Samet, S., Miri, A. and Granger, E., Incremental learning of privacy-preserving Bayesian networks, Applied Soft Computing (2013), doi:10.1016/j.asoc.2013.03.011.
     

  19. Ribas, F.C., Oliveira, L.S., Britto Jr., A. and Sabourin, R., Handwritten Digit Segmentation: A Comparative Study, International Journal on Document Analysis and Recognition (IJDAR), Vol. 16, No. 2, 2013, pp. 127-137.
     

  20. Eskander, G., Sabourin R. and Granger E., A Hybrid Writer-Independent--Writer-Dependent Offline Signature Verification System, IET-Biometrics Journal, Special issue on “Handwriting Biometrics”, Vol. 2, Issue 4, 2013, pp 169-181.
     

  21. Rabil, B.S., Tliba, S, Granger, E. and Sabourin, R., Securing High Resolution Grayscale Facial Captures using a Blockwise Coevolutionary GA,, Expert Systems with Applications, Vol. 40, Issue 17, 2013, pp. 6693–6706.
     

  22. Batista, L., Badri, B., Sabourin, R. And Thomas, M., A Classifier Fusion System for Bearing Fault Diagnosis, Expert Systems with Applications, Vol. 40, Issue 17, 2013, pp. 6788-6797.
     


Book Chapters  

     I. Ben Ayed, Distribution-Matching Approaches to Medical Image Segmentation, in  Computer Vision in Medical Imaging, 2013, pp. 19–33, C. H. Chen Editor, World Scientific. 


Conferences

  1. I. Ben Ayed, L. Gorelick and Y. Boykov, Auxiliary Cuts for General Classes of Higher-Order Functionals, IEEE International Conference on Computer Vision and Pattern Recognition (CVPR),  pp. 1304-1311, Portland, Oregon, 2013 (Oral). Slides for the CVPR talk.                                                                                                                                                                                                                                                                                       
  2. C. M.S. Nambakhsh, T. M. Peters, A. Islam and I. Ben Ayed, Right Ventricle Segmentation with Probability Product Kernel Constraints, Medical Image Computing and Computer-Assisted Intervention (MICCAI), Vol. LNCS 8149, pp. 509-517, Nagoya, Japan, 2013.                                                                                                                                                                                                                                                                                                                                                                        
  3.  M. Toews, L. Zollei, W. Wells III. Invariant Feature-based Alignment of Volumetric Multi-modal Images.  Image Processing in Medical Imaging, Vol. 23, pp. 25-36, 2013.                                                                                                                                                                          
  4. M. Toews, A. Golby, W. Wells III. Inter-slice Correspondence for 2D Ultrasound-guided Procedures.  Workshop on Clinical Image-based Procedures: Translational Research in Medical Imaging, MICCAI 2013.                                                                                                                                                                                                                                                     
  5. G. Gill, M. Toews, and R. R. Beichel.  An Automated Initialization System for Robust Model-Based Segmentation of Lungs in CT Data.  5th Intl. Workshop on Pulmonary Image Analysis, pp. 111-122, 2013.                                                                                                                                                                                                                                                
  6. A. Gupta, M. Toews, R. Janardhana, Y. Rathi, J. Gilmore, M.  Fiber feature map based landmark initialization for highly deformable DTI registration. Escolar, M.A. Styner. SPIE Medical Imaging, 2013.                                                                                                                                                                                                                                                        
  7. Connolly, J.F., Granger, E. and Sabourin, R., Evolving Classifier Ensembles Using Dynamic Multi-Objective Swarm Intelligence, International Conference on Pattern Recognition Applications and Methods (ICPRAM 2013), Barcelona, Spain, 15-18 February 2013.
  8. Ko, A.H.R., Sabourin, R., Single Classifier based Multiple Classifications, 11th International Workshop on Multiple Classifier Systems (MCS2013), Nanjing, China, May 15-17, 2013.
     

  9. Radtke, P.V.W, Granger, E., Sabourin, R. and Gorodnichy, D., Adaptive Ensemble Selection for Face Re-Identification Under Class Imbalance, 11th International Workshop on Multiple Classifier Systems (MCS2013), Nanjing, China, May 15-17, 2013.
     

  10. Eskander, G.S., Sabourin, R. and Granger, E., On the Dissimilarity Representation and Prototype Selection for Signature-Based Bio-Cryptographic Systems, 2nd Intel. Workshop on Similarity-Based Pattern Analysis and Recognition (SIMBAD’2013), York, UK, 3-5 July 2013.
     

  11. Carbonneau, M-A., Gagnon, G., Sabourin, R. and Dubois, J., Recognition of Blowing Sound Types for Real-Time Implementation in Mobile Devices, The 2013 IEEE 11th International NEWCAS Conference, Paris, France, 16-19 June 2013.
     

  12. Eskander, G.S., Sabourin, R. and Granger, E., Towards Automated Transactions based on the Offline Handwritten Signatures, 9th International Conference on Machine Learning and Data Mining (MLDM'2013), July 19-25, 2013, New York, USA.
     

  13. Rabil, B.G., Sabourin, R. and Granger, E., Securing Mass Biometric Templates Using Blockwise Multi-Resolution Clustering Watermarking, 9th International Conference on Machine Learning and Data Mining (MLDM'2013), July 19-25, 2013, New York, USA.
     

  14. Eskander, G.S., Sabourin, R. and Granger, E., A Dissimilarity-Based Approach for Biometric Fuzzy Vaults–Application to Handwritten Signature Images, International Workshop on Emerging Aspects in Handwritten Signature Processing (EAHSP), Naples, Italy, September 2013.  

  15. Eskander, G.S., Sabourin, R. and Granger, E., Dissimilarity Representation for Handwritten Signature Verification, 2nd International Workshop on Automated Forensic Handwriting Analysis (AFHA 2013), Washington DC, USA, August 22-23, 2013.  

  16. De-la Torre, M., Granger, E., Sabourin, R., Gorodnichy, D., An Individual-Specific Strategy for Management of Reference Data in Adaptive Ensembles for Person Re-Identification, The 5th International Conference on Imaging for Crime Detection and Prevention (ICDP-13), 16-17 December 2013, London, UK, pp. 1-7.  

  17. Dewan, M.A.A., Granger, E., Roli, F., Sabourin, R. and Marciallis, G.L..,A Comparison of Adaptive Appearance Methods for Tracking Faces in Video Surveillance, The 5th International Conference on Imaging for Crime Detection and Prevention (ICDP-13), 16-17 December 2013, London, UK. 

  18. Lévesque, J.C., Gagné, C. and Sabourin, R., Ensembles of Budgeted Kernel Support Vector Machines for Parallel Large Scale Learning, NIPS Workshop on Big Learning: Advances in Algorithms and Data Management, December 09th 2013, Lake Tahoe, Nevada, USA.