Éric Granger

B.Sc.A. (UQAM), M.Sc.A., Ph.D. (Polytechnique Montréal)


Département de génie des systèmes
Bureau : A-3481
Téléphone :514 396-8650
Télécopieur: 514 396-8595

eric.granger@etsmtl.ca


Accueil

Professor Eric Granger joined the ETS in 2004, where he is presently Full Professor in the department of Automated Manufacturing Engineering. Over the past decade, his research has focused on adaptive pattern recognition, computer vision and computational intelligence, with applications in biometrics, video surveillance, and computer/network security.  Before joining ETS, he earned Ph.D. in Electrical Engineering from École Polytechnique de Montréal in 2001, and worked as a Defence Scientist at DRDC-Ottawa (1999-2001), and in R&D with Mitel Networks (2001-04). His doctoral research focused on neural network signal processing and microelectronics for electronic surveillance systems.
Research Interests and Expertise: 
  • Pattern Recognition
  • Adaptive and Intelligent Systems
  • Information Fusion
  • Multiple Classifier Systems
  • Contextual Recognition
  • Online and Incremental Learning
  • Computer Vision
  • Evolutionary Computation

Application Areas:

  • Face Analysis and Recognition
  • Activity and Event Recognition
  • Biometrics
  • Monitoring and Video Surveillance






Enseignement

GPA759: Réseaux de neurones et intelligence artificielle

GPA770: Microélectrique appliquée

SYS828: Systèmes biométriques

MTR801: Planification d’un projet de recherche en ingénierie

SYS 843: Réseaux de neurones et systèmes flous





Publications

Original articles in refereed journals and books chapters
Dewan, M.A.A., Granger, E., Marciallis, G.L., Sabourin, R. and Roli, F., "Adaptive Appearance Model Tracking for Still-to-Video Face Recognition," Pattern Recognition, Vol. 40, No. 1, January 2016, pp 129-151
Pagano, C., Granger, E., Sabourin, R., Marcialis, G.-L., Roli, F.(2015). Dynamic Weighting of Classifier Ensembles from Trajectories in Video-to-Video Face Recognition. IEEE Trans. on Neural Networks and Learning Systems.
De-la-Torre, M., Granger, E., Sabourin, R., Gorodnichy, D.O.(2015). Adaptive skew-sensitive ensembles for face recognition in video surveillance. Pattern Recognition. 48(11): 3385–3406.
Rattani, A., Roli, F., Granger, E., eds.,. (2015). Adaptive Biometric Systems: Recent Advances and Challenges. 1: 136.
Prieur, D., Granger, E., Savaria, Y., and Thibeault, C.(2016). Efficient identification of faces in video streams using low-power multi-core devices . Chen, C.H. . Handbook of Pattern Recognition and Computer Vision . 5th Edition : Chapter 3.3 .
Vellasques, E., Sabourin, R., Granger, E.(2015). A dual-purpose memory approach for dynamic particle swarm optimization of recurrent problems. Abielmona, R., Falcon, R., Zincir-Heywood, N., Abbass, H.Recent Advances in Computational Intelligence in Defense and Security. 1: Chapter 11. In Press, Springer (Series on Studies in Computational Intelligence)
C. Pagano, C., Granger, E., Sabourin, R., Tuveri, P., Marcialis,G.-L. and F. Roli, F.(2015). Context-Sensitive Self-Updating for Adaptive Face Recognition. Rattani, A., Roli, F., Granger, E.Adaptive Biometric Systems: Recent Advances and Challenges . 1: Chapter 1. In Press, Springer Computer Science
Saman Bashbaghi, Eric Granger, Robert Sabourin, Guillaume-Alexandre Bilodeau. (2015). Watch-
List Screening Using Ensembles of Exemplar-SVMs Based on Multiple Face Representations. Pattern Recognition.
De-la-Torre, Miguel, Granger, Eric, Sabourin, Robert, Gorodnichy, Dmitry O. (2015). An adaptive ensemble-based system for face recognition in person re-identification. Machine Vision and Applications. 26(6): 741-773.
De la Torre, Miguel, Granger, Eric, Sabourin, Robert, Gorodnichy, Dmitry. (2015). Individual-specific management of reference data in adaptive ensembles for face re-identification. IET -- Computer Vision
Journal. : 1-9.
De-la-Torre, Miguel, Granger, Eric, Radtke, Paulo VW, Sabourin, Robert, Gorodnichy, Dmitry O.
Dewan, M., Granger, E., Marcialis, G.-L., Sabourin, R., Roli, F.(2015). Adaptive Appearance Model Tracking for Still-to-Video Face Recognition. Pattern Recognition.
Dewan, M., Granger, E., Roli, F., Sabourin, R., et Marcialis, G.-L.(2015). Survey of Tracking Methods for Spatiotemporal Face Recognition in Video Surveillance. ACM Computing Surveys.
Eskander, G.S., Sabourin R., Granger E.(2015). Optimized Dissimilarity Representations with Application to Signature Verification and Bio-Cryptography. IEEE Trans. on Neural Networks and Learning Systems.
Rabil, Bassem S, Sabourin, Robert, Granger, Eric. (2014). Rapid blockwise multi-resolution clustering of facial images for intelligent watermarking. Machine Vision and Applications. 25(2): 277-300.
Pagano, C, Granger, E, Sabourin, R, Marcialis, GL, Roli, F. (2014). Adaptive ensembles for face recognition in changing video surveillance environments. Information Sciences. 286: 75-101.
Chakravorty, Tanushri, Bilodeau, Guillaume-Alexandre, Granger, Eric. (2014). Automatic Image Registration in Infrared-Visible Videos using Polygon Vertices. arXiv preprint arXiv:1403.4232.
Eskander, George S, Sabourin, Robert, Granger, Eric. (2014). Offline signature-based fuzzy vault (OSFV): review and new results. arXiv preprint arXiv:1408.3985.
Eskander, George S, Sabourin, Robert, Granger, Eric. (2014). A bio-cryptographic system based on offline signature images. Information Sciences. 259: 170-191.
Radtke, Paulo VW, Granger, Eric, Sabourin, Robert, Gorodnichy, Dmitry O. (2014). Skew-sensitive Boolean combination for adaptive ensembles - An application to face recognition in video surveillance. Information Fusion. 20: 31-48.
Eskander, George S, Sabourin, Robert, Granger, Eric. (2013). Hybrid writer-independent-writerdependent offline signature verification system. IET Biometrics (Special Issue on Handwriting Biometrics). 2(4): 169-181.
Samet, Saeed, Miri, Ali, Granger, Eric. (2013). Incremental learning of privacy-preserving Bayesian networks. Applied Soft Computing. 13(8): 3657-3667.
Connolly, Jean-François, Granger, Eric, Sabourin, Robert. (2013). Dynamic multi-objective evolution of classifier ensembles for video face recognition. Applied Soft Computing. 13(6): 3149-3166.
Rabil, Bassem S, Tliba, Safa, Granger, Eric, Sabourin, Robert. (2013). Securing high resolution grayscale facial captures using a blockwise coevolutionary GA. Expert Systems with Applications. 40(17): 6693-6706.
Vellasques, Eduardo, Sabourin, Robert, Granger, Eric. (2013). DS-DPSO: A dual surrogate approach for intelligent watermarking of bi-tonal document image streams. Expert Systems with Applications. 40(13): 5240-5259..
.
Rivard, Dominique, Granger, Eric, Sabourin, Robert. (2013). Multi-feature extraction and selection in writer-independent off-line signature verification. International Journal on Document Analysis and Recognition. 16(1): 83-103.
Connolly, Jean-François, Granger, Eric, Sabourin, Robert. (2012). An adaptive classification system for video-based face recognition. Information Sciences. 192: 50-70.
Khreich, Wael, Granger, Eric, Miri, Ali, Sabourin, Robert. (2012). A survey of techniques for incremental learning of HMM parameters. Information Sciences. 197: 105-130.
Batista, Luana, Granger, Eric, Sabourin, Robert. (2012). Dynamic selection of generative-discriminative ensembles for off-line signature verification. Pattern recognition. 45(4): 1326-1340.
Granger, Eric, Khreich, Wael, Sabourin, Robert, Gorodnichy, Dmitry O. (2012). Fusion of biometric systems using Boolean combination: an application to iris-based authentication. International Journal of Biometrics. 4(3): 291-315.
Khreich, Wael, Granger, Eric, Miri, Ali, Sabourin, Robert. (2012). Adaptive ROC-based ensembles of HMMs applied to anomaly detection. Pattern Recognition. 45(1): 208-230.
Connolly, Jean-François, Granger, Eric, Sabourin, Robert. (2012). Evolution of heterogeneous ensembles through dynamic particle swarm optimization for video-based face recognition. Pattern Recognition. 45(7): 2460-2477.
Latombe, Guillaume, Granger, Eric, Dilkes, Fred A. (2012). Graphical EM for on-line learning of grammatical probabilities in radar Electronic Support. Applied Soft Computing. 12(8): 2362-2378.
Vellasques, Eduardo, Sabourin, Robert, Granger, Eric. (2011). A high throughput system for intelligent watermarking of bi-tonal images. Applied Soft Computing. 11(8): 5215-5229.
W. Khreich, E. Granger, A. Miri and R. Sabourin, "A Survey of Techniques for Incremental Learning of HMM Parameters," submitted Information Sciences, January 2010.
J.-F. Connolly, E. Granger and R. Sabourin, "An Adaptive Classification System for Video-Based Face Recognition," in press Information Sciences, accepted February 2010.
E. Granger, P. Henniges, R. Sabourin and L. S. Oliveira, "Match Tracking Strategies for Fuzzy ARTMAP Neural Networks,’’ Handbook of Pattern Recognition and Computer Vision, vol. 4, eds., C. H. Chen, Part 1, Chapter 1.4, 74-100, January 2010.
E. Vellasques, E. Granger and R. Sabourin, " Intelligent Watermarking Systems: a Survey,’’ Handbook of Pattern Recognition and Computer Vision, vol. 4, eds., C. H. Chen, Part 5, Chapter 5.5, January 2010.
W. Khreich, E. Granger, A. Miri and R. Sabourin, "On the Memory Complexity of the Forward-Backward Algorithm," Pattern Recognition Letters, 31, 91-99, 2010 (doi:10.1016/j.patrec.2009.09.023).
D. Rivard, R. Sabourin, and E. Granger, "Multimodal Systems for Writer-Independent Offline Signature Verification," submitted IEEE Transactions on Pattern Analysis and Machine Intelligence, November 2009.
W. Khreich, E. Granger, A. Miri and R. Sabourin, "Iterative Boolean Combination of Classifiers in the ROC Space: An Application to Anomaly Detection with HMMs," in press Pattern Recognition, accepted November 2009.
L. Batista, E. Granger and R. Sabourin, "Improving the Performance of HMM-Based Off-Line Signature Verification Systems Through a Multihypothesis Approach," International Journal of Document Analysis and Recognition, published on-line, November 2009 (DOI 10.1007/s10032-009-0101-0).
G. Latombe, E. Granger and F. Dilkes, "Fast Learning of Grammatical Probabilities in Radar Electronic Support," in press IEEE Trans. on Aerospace and Electronic Systems, accepted February 2009.
S Samet, A. Miri and E. Granger, "Privacy-Preserving Incremental Bayesian Network," submitted AMC Transactions on Knowledge Discovery from Data (TKDD), July 2009.
G. Latombe, E. Granger and F. Dilkes, "On-Line Graphical EM for Recognition of Radar Signals with Stochastic Context-Free Grammars," submitted Information Sciences, November 2008.
L. B. Batista, D. Rivard, R. Sabourin, E. Granger and P. Maupin, "State of the Art in Off-line Signature Verification," Pattern Recognition Technologies and Applications: Recent Advances, eds., B. Verma and B. Blumenstein, April 2008, ISBN: 1599048078.
E. Granger, P. Henniges, L. S. Oliveira and R. Sabourin, "Supervised Learning of Fuzzy ARTMAP Neural Networks Through Particle Swarm Optimization," Journal of Pattern Recognition Research, 2:1, 27-60, 2007.
E. Granger, S. Catudal, R. Grou, M. M. Mbaye and Y. Savaria, "On Current Strategies for Hardware Acceleration of Digital Image Restoration Filters," WSEAS Trans. on Electronics, 1:3, 551-558, 2004.
E. Granger, Y. Savaria and P. Lavoie, "A Pattern Reordering Approach Based on Ambiguity Detection for On-Line Category Learning," IEEE Trans. Pattern Analysis and Machine Intelligence, 25:4, 524-528, 2003.
E. Granger, M. A. Rubin, S. Grossberg and P. Lavoie, "A What-and-Where Fusion Neural Network for Recognition and Tracking of Multiple Radar Emitters," Neural Networks, 14:3, 325-344, 2001.
E. Granger, Y. Savaria, P. Lavoie and M.-A. Cantin, "A Comparison of Self-Organizing Neural Networks for Fast Clustering of Radar Pulses,'' Signal Processing, 64:3, 249-269, 1998.
E. Granger, Y. Blaquière, Y. Savaria, M.-A. Cantin and P. Lavoie, "A VLSI Architecture for Fast Clustering with the Fuzzy ART Neural Network," Journal of Microelectronic Systems Integration, 5:1, 3-18, 1997.
Papers in refereed conference proceedings
 Farshad Nourbakhsh and Eric Granger, "Learning of Graph Compressed Dictionaries for Sparse Representation Classification", 5th International Conference on Pattern Recognition Applications and Methods (ICPRAM) 2016
 Roghayeh Soleymani , Eric Granger and Giorgio Fumera2, "Classifier Ensembles with Trajectory Under-Sampling for Face Re-Identification ", 5th International Conference on Pattern Recognition Applications and Methods (ICPRAM) 2016
 Chakravorty, Tanushri, Bilodeau, Guillaume-Alexandre, Granger, Eric. (2015). Contextual Object Tracker with Strucutre Encoding. IEEE International Conference on Image Processing , Québec City, Canada, , 2015-09-27
 Mokhayeriy, Fania, Grangery, Eric, Bilodeau, Guillaume-Alexandre. (2015). Synthetic Face Generation under Various Operational Conditions in Video Surveillance. IEEE International Conference on Image Processing , Québec City, Canada, , 2015-09-27
 De La Torre, Miguel, Granger, Eric, Sabourin, Robert. (2015). Adaptive Skew-Sensitive Fusion of Ensembles and their Application to Face Re-Identification. The International Conference on Neural Networks, , Killarney, Ireland, , 2015-07-12
 Dewan, M, Granger, E, Marcialis, G.-L., Sabourin, R., Roli, F.(2015). Video Face Recognition From A Single Still Image Using an Adaptive Appearance Model Tracker. 2015 IEEE Symposium Series on Computational Intelligence, Cape Town, , 2015-12-07
 Pagano, Christophe, Granger, Eric, Sabourin, Robert, Marcialis, Gian Luca, Roli, Fabio. (2015).
Adaptive Classification for Person Re- dentification Driven by Change Detection. 4th International Conference on Pattern Recognition Applications and Methods , Lisbon, Portugal, , 2015-01-10
 Eskander, George S, Sabourin, Robert, Granger, Eric. (2014). Offline signature-based fuzzy vault: A review and new results. IEEE Symposium on Computational Intelligence in Biometrics and Identity Management , Orlando, USA, , 2014-12-09 (45-52)
 Granger, Eric, Gorodnichy, Dmitry O. (2014). Target-based evaluation of face recognition technology for video surveillance applications. 2014 IEEE Symposium on Computational Intelligence in Biometrics and Identity Management, Orlando, USA, , 2014-12-09
 Pagano, C, Granger, E, Sabourin, R, Rattani, Ajita, Marcialis, Gian-Luca, Roli, F. (2014). Efficient
adaptive face recognition systems based on capture conditions. IEEE Symposium on Computational Intelligence in Biometrics and Identity Management, Orlando, USA, , 2014-12-09 (60-67)
 Eskander, George S, Sabourin, Robert, Granger, Eric. (2014). Improving Signature-Based Biometric Cryptosystems Using Cascaded Signature Verification-Fuzzy Vault (SV-FV) Approach. International Conference on Frontiers in Handwriting Recognition , Crete Island, Greece, , 2014-09-01 (187-192)
 De-la-Torre, Miguel, Granger, Eric, Radtke, Paulo, Sabourin, Robert, Gorodnichy, Dmitry O. (2014). Self-Updating with Facial Trajectories for Video-to-Video Face Recognition. International Conference on Pattern Recognition, Stockholm, Sweden, , 2014-08-24
 Bashbaghi, Saman, Granger, Eric, Sabourin, Robert, Bilodeau, Guillaume-Alexandre. (2014). Watch-List Screening Using Ensembles Based on Multiple Face Representations. International Conference on Pattern Recognition, Stockholm, Sweden, , 2014-08-24
 Amara, Ibtihel, Granger, Eric, Hadid, Abdenour. (2014). On the Effects of Illumination Normalization with LBP-Based Watchlist Screening. ECCV 2014 International Workshop on Computer Vision With Local Binary Patterns Variants (LBP'2014), , 2014-06-15
 Gorodnichy, Dmitry, Granger, Eric. (2014). PROVE-IT (FRiV): framework and results. Proc. NIST International Biometrics Performance Conference, Gaithersburg, MD, USA, , 2014-04-01
.De-la-Torre, Miguel, Granger, Eric, Sabourin, Robert, Gorodnichy, Dmitry O. (2013). An individualspecific strategy for management of reference data in adaptive ensembles for person re-identification. International Conference on Imaging for Crime Detection and Prevention, London, UK, , 2013-12-13
 Dewan, Ali Abker, Granger, Eric, Roli, Fabio, Sabourin, Robert, Marcialis, Gian-Luca.(2013). A Comparison of Adaptive Appearance Methods for Tracking Faces in Video Surveillance. London, UK. International Conference on Imaging for Crime Detection and Prevention, , 2013-12-13
Eskander, G.S., Sabourin, R. and Granger, E.(2013). A Dissimilarity-Based Approach for Biometric Fuzzy Vaults–Application to Handwritten Signature Images. International Workshop on Emerging Aspects in Handwritten Signature Processing, Naples, Italy, , 2013-09-06
 Eskander, G.S., Sabourin, R. and Granger, E.(2013). Dissimilarity Representation for Handwritten Signature Verification. 2nd International Workshop on Automated Forensic Handwriting Analysis, Washington DC, USA, , 2013-08-22
 Eskander, George S, Sabourin, Robert, Granger, Eric. (2013). Towards Automated Transactions Based on the Offline Handwritten Signatures. 9th International Conference on Machine Learning and Data Mining, New York, USA, , 2013-07-19 (141-150)
 Eskander, George S, Sabourin, Robert, Granger, Eric. (2013). On the Dissimilarity Representation and Prototype Selection for Signature-Based Bio-Cryptographic Systems. Workshop on Similarity-Based Pattern Analysis and Recognition, York, UK, , 2013-07-03 (26-30)
 Rabil, B.G., Sabourin, R. and Granger, E.(2013). Securing Mass Biometric Templates Using Blockwise Multi- Resolution Clustering Watermarking. 9th International Conference on Machine Learning and Data Mining, New York, USA, , 2013-07-19
 Radtke, P.V.W, Granger, E., Sabourin, R. and Gorodnichy, D.(2013). Adaptive Ensemble Selection for Face Re-Identification Under Class Imbalance. 11th International Workshop on Multiple Classifier Systems, Nanjing, China,, , 2013-05-15
 Connolly, Jean-François, Granger, Eric, Sabourin, Robert. (2013). Evolving Classifier Ensembles
using Dynamic Multi-objective Swarm Intelligence. International Conference on Pattern Recognition Applications and Methods, Barcelona, Spain,, , 2013-02-15 (206-215)
 Rattani, Ajita, Marcialis, Gian Luca, Granger, Eric, Roli, Fabio. (2012). A dual-staged classificationselection approach for automated update of biometric templates. 21st International Conference on Pattern Recognition, Tsukuba Science City, Japan, , 2012-11-11
 Connolly, J-F, Granger, Eric, Sabourin, Robert. (2012). On the correlation between genotype and
classifier diversity. 21st International Conference on Pattern Recognition, Tsukuba Science City,
Japan, , 2012-11-11
 Radtke, Paulo Vinicius Wolski, Granger, Eric, Sabourin, Robert, Gorodnichy, Dmitry. (2012). Adaptive selection of ensembles for imbalanced class distributions. Pattern Recognition (ICPR), 2012 21st International Conference on, Tsukuba Science City, Japan, , 2012-11-11
 Eskander, George S, Sabourin, Robert, Granger, Eric. (2012). Adaptation of writer-independent systems for offline signature verification. Frontiers in Handwriting Recognition (ICFHR), 2012 International Conference on, Bari, Italy, , 2012-09-18 (434-439)
 Marcialis, Gian Luca, Didaci, Luca, Pisano, Alessandro, Granger, Eric, Roli, Fabio. (2012). Why template self-update should work in biometric authentication systems?. 11th International Conference on Information Science, Signal Processing and their Applications , Montreal, Canada, , 2012-07-03
 De-la-Torre, Miguel, Radtke, Paulo VW, Granger, Eric, Sabourin, Robert, Gorodnichy, Dmitry O. (2012). A comparison of adaptive matchers for screening of faces in video surveillance. IEEE Symposium on Computational Intelligence for Security and Defence Applications , Ottawa, Canada, , 2012-07-11
 Vellasques, Eduardo, Sabourin, Robert, Granger, Eric. (2012). Gaussian mixture modeling for dynamic particle swarm optimization of recurrent problems. Proceedings of the 14th annual conference on Genetic and evolutionary computation, , 2012-07-07 (73-80)
 Pagano, Christophe, Granger, Eric, Sabourin, Robert, Gorodnichy, Dmitry O. (2012). Detector ensembles for face recognition in video surveillance. International Joint Conference on Neural Networks , Brisbane, Australia, , 2012-06-10
 De-la-Torre, Miguel, Granger, Eric, Radtke, Paulo VW, Sabourin, Robert, Gorodnichy, Dmitry O. (2012).Incremental update of biometric models in face-based video surveillance. International Joint Conference on Neural Networks, Brisbane, Australia, , 2012-06-10 (1-8)
 Rabil, Bassem S, Sabourin, Robert, Granger, Eric. (2011). Watermarking Stack of Grayscale Face
Images as Dynamic Multi-Objective Optimization Problem. Int’l Conference on Mass Data Analysis of Images and Signals, New York, USA, , 2011-08-30
Khreich, W., Granger, E., Miri, A. and Sabourin, R.(2011). Incremental Boolean Combination of
Classifiers. Int’l Workshop on Multiple Classifier Systems, Naples, Italy, , 2011-06-15
 Batista, L., Granger, E. and Sabourin, R.(2011). Dynamic Ensemble Selection for Off-Line Signature Verification. Int’l Workshop on Multiple Classifier Systems, Naples, Italy, , 2011-06-15
 Rabil, Bassem S, Sabourin, Robert, Granger, Eric. (2011). Watermarking on offline signature verification in intelligent bio-watermarking systems. IEEE Workshop on Computational Intelligence in Biometrics and Identity Management , Paris, France, , 2011-04-11
 Eskander, George S, Sabourin, Robert, Granger, Eric. (2011). Signature based Fuzzy Vaults with
boosted feature selection. IEEE Workshop on Computational Intelligence in Biometrics and Identity Management, Paris, France, , 2011-04-11
 Gorodnichy, Dmitry O, Dubrofsky, Elan, Hoshino, Richard, Khreich, Wael, Granger, Eric, Sabourin, Robert. (2011). Exploring the upper bound performance limit of iris biometrics using score calibration and fusion. IEEE Workshop on Computational Intelligence in Biometrics and Identity Management ,
Paris, France, , 2011-04-11 (54-61)
Connolly, Jean-François, Granger, Eric, Sabourin, Robert. (2011). Comparing dynamic PSO algorithms for adapting classifier ensembles in video-based face recognition. IEEE Workshop on Computational Intelligence in Biometrics and Identity Management, Paris, France, , 2011-04-11
 Vellasques, Eduardo, Sabourin, Robert, Granger, Eric. (2010). Intelligent watermarking of document images as a dynamic optimization problem. Sixth International Conference on Intelligent Information Hiding and Multimedia Signal Processing, Darmstadt, Germany, , 2010-10-15
 Rabil, Bassem S, Sabourin, Robert, Granger, Eric. (2010). Intelligent watermarking with multi-objective population based incremental learning. Sixth International Conference on Intelligent Information Hiding and Multimedia Signal Processing, Darmstadt, Germany, , 2010-10-15
 Batista, Luana, Granger, Eric, Sabourin, Robert. (2010). Applying dissimilarity representation to offlinesignature verification. 20th International Conference on Pattern Recognition, Istanbul, Turkey, ,2010-08-23 (1293-1297)
 Khreich, Wael, Granger, Eric, Miri, Ali, Sabourin, Robert. (2010). Boolean combination of classifiers in the ROC space. 20th International Conference on Pattern Recognition, Istanbul, Turkey, , 2010-08-23 (4299-4303)
 Connolly, Jean-François, Granger, Eric, Sabourin, Robert. (2010). An adaptive ensemble of fuzzy
artmap neural networks for video-based face classification. Barcelona, Spain. IEEE World Congress on Computational Intelligence, , 2010-07-18
 Granger, Eric, Prieur, Donavan, Connolly, Jean-François. (2010). Evolving ARTMAP neural networks using multi-objective particle swarm optimization. IEEE World Congress on Computational Intelligence, Barcelona, Spain, , 2010-07-17
L. Batista, E. Granger, R. Sabourin. (2010). A Multi-Classifier System for Off-Line Signature Verification Based on Dissimilarity Representation. Int'l Workshop on Multi-Classifier Systems, Cairo, Egypt, 2010-04-07
W. Khreich, E. Granger, R. Sabourin and A. Miri, "A Comparison of Techniques for On-line Incremental Learning of HMM Parameters in Anomaly Detection," 2009 IEEE Symposium on Computational Intelligence for Security and Defence Applications (CISDA), Ottawa, Canada, July 8-10, 2009.
J.-F. Connolly, E. Granger and R. Sabourin, "Incremental Adaptation of Fuzzy ARTMAP Neural Networks for Video-Based Face Classification," 2009 IEEE Symposium on Computational Intelligence for Security and Defence Applications (CISDA), Ottawa, Canada, July 8-10, 2009.
L. Batista, E. Granger and R. Sabourin, "A Multi-Hypothesis Approach for Off-Line Signature Verification with HMMs," 2009 International Conference on Document Analysis and Recognition (ICDAR), Barcelona, Spain, July 26-29, pp. 66-670, 2009.
W. Khreich, E. Granger, A. Miri and R. Sabourin, "Combining Hidden Markov Models for Anomaly Detection," 2009 IEEE International Conference on Communications (ICC), Dresden, Germany, June 14-18, pp. 1-6, 2009.
E. Granger and G. LeFrançois, "Novelty Detection with Probabilistic ARTMAP Neural Networks," 2008 Artificial Neural Networks in Engineering Conference (ANNIE), St-Louis, USA, November 9-12, 2008.
J.-F. Connolly, E. Granger and R. Sabourin, "Supervised Incremental Learning with the Fuzzy ARTMAP Neural Network," Third International Workshop on Artificial Neural Networks in Pattern Recognition (ANNPR), Paris, France, July 2-4, p. 66-77, 2008.
E. Granger, J.-F. Connolly and R. Sabourin, "A Comparison of Fuzzy ARTMAP and Gaussian ARTMAP Neural Networks for Incremental Learning," 2008 IEEE World Congress on Computational Intelligence (WCCI), Hong-Kong, China, June 1-6, p.3304-3311, 2008.
M. Barry-Camerra and E. Granger, "Face Recognition in Video Using a Track-and-Classify Neural Network," The International Conference on Image Analysis and Recognition (ICIAR), Montréal, Canada, August 22-24, 2007.
M. Barry-Camerra and E. Granger, "Face Recognition in Video Using a What-and-Where Fusion Neural Network," 2007 Int’l Joint Conference on Neural Networks (IJCNN), Orlando, USA, August 12-17, 2007.
M. Barry-Camerra and E. Granger, "Comparison of ARTMAP Neural Networks for Classification for Face Recognition from Video," 2007 Int’l Workshop on Video Processing and Recognition (VideoRec), Montréal, Canada, May 28-30, 2007.
G. Latombe, E. Granger and F. Dilkes, "Incremental Learning of Stochastic Grammars with Graphical EM in Radar Electronic Support," 2007 Int’l Conference on Acoustics, Speech, and Signal Processing (ICASSP), Honolulu, USA, April 15-20, 2007.
D. Rivard, E. Granger and R. Sabourin, "Feature Selection Techniques for Classification of Satellite Image with Fuzzy ARTMAP Neural Networks," 2006 Artificial Neural Networks in Engineering Conference (ANNIE), St-Louis, USA, November 5-8, pp. 479-486, 2006.
P. Henniges, E. Granger, R. Sabourin and L. S. Oliveira, "Impact of Fuzzy ARTMAP Match Tracking Strategies on the Recognition of Handwritten Digits," 2006 Artificial Neural Networks in Engineering Conference (ANNIE), St-Louis, USA, November 5-8, pp 465-472, 2006.
E. Granger, P. Henniges, L. S. Oliveira and R. Sabourin, "Particle Swarm Optimisation of Fuzzy ARTMAP Parameters," 2006 Int’l Joint Conf. on Neural Networks (IJCNN),’’ Vancouver, Canada, July 16-21, pp. 2060-2067, 2006.
G. Latombe, E. Granger and F. Dilkes, "Fast Incremental Techniques For Learning Production Rule Probabilities in Radar Electronic Support," 2006 Int’l Conference on Acoustics, Speech, and Signal Processing (ICASSP), Toulouse, France, May 14-19, 2006.
G. Latombe, E. Granger and F. Dilkes, "A Viterbi Score Variant of Graphical EM," 2006 Canadian Conference on Electrical and Computer Engineering (CCECE), Ottawa, Canada, May 7-10, 2006.
P. Henniges, E. Granger and R. Sabourin, "Factors of Overtraining with Fuzzy ARTMAP Neural Networks," 2005 Int’l Joint Conference on Neural Networks, Montreal, Canada, July 31 - August 4, pp. 1075-1080, 2005.
E. Granger, S. Catudal, R. Grou, M. M. Mbaye and Y. Savaria, "On Current Strategies for Hardware Acceleration of Digital Image Restoration Filters," 2004 WSEAS International Conference on Signal, Speech and Image Processing (ICOSSIP), Izmir, Turkey, Sept. 12-16, 2004.
P. Maupin, E. Granger, T. Wong, and R. Sabourin, "A Review of Situation Recognition Models and Systems," The 24th Army Science Conference (ASC 2004), Orlando, Florida, November 29 – December 2, 2004.
E. Granger, M. A. Rubin, S. Grossberg and P. Lavoie, "Radar ESM with a What-and-Where Fusion Neural Network," In D. J. Miller and al., eds., Proc. 2001 IEEE Workshop on Neural Networks for Signal Processing XI, New York, NY: IEEE Press, 539-548, 2001.
E. Granger, M. A. Rubin, S. Grossberg and P. Lavoie, "Classification of Incomplete Data Using the Fuzzy ARTMAP Neural Network," Proc. Int'l Joint Conference on Neural Networks (IJCNN'2000), Vol. vi, 35-40, Como, Italy, July 2000. [selected as one of the most outstanding papers]
M.-A. Cantin, Y. Savaria, Y. Blaquière, E. Granger and P. Lavoie, "Analysis of Quantization Effects in a Digital Hardware Implementation of a Fuzzy ART Neural Network Algorithm," Proc. Int'l Symposium on Circuits and Systems (ISCAS'2000), Geneva, Switzerland, May 2000.
E. Granger, S. Grossberg, P. Lavoie and M. A. Rubin, "A Comparison of Classifiers for Radar Emitter Type Identification," In C. H. Dagli and al., eds., Intelligent Engineering Systems Through Artificial Neural Networks -- Volume 9, New York, NY: ASME Press, 3-12, 1999. [selected as first runner up -- Best Application Paper Award]
M.-A. Cantin, E. Granger, Y. Savaria, Y. Blaquière and P. Lavoie, "Four Implementations of the Fuzzy ART Neural Network for High Data Throughput Applications," Proc. Int'l Conference on Cognitive and Neural Systems (ICCNS'99), 15, Boston, USA, May 1999.
E. Granger, S. Grossberg, M. A. Rubin and W. Streilein, "Familiarity Discrimination of Radar Pulses," In M. S. Kearns and al., eds., Advances in Neural Information Processing Systems 11, Cambridge , MA: MIT Press, 875-881, 1999.
M.-A. Cantin, Y. Blaquière, Y. Savaria, E. Granger and P. Lavoie, "Implementation of the Fuzzy ART Neural Network for Fast Clustering of Radar Pulses," Proc. Int'l Symposium on Circuits and Systems (ISCAS'98), Vol. ii, 456-461, Monterey, USA, May 1998.
E. Granger, Y. Blaquière, Y. Savaria, M.-A. Cantin and P. Lavoie, "A VLSI Architecture for Fast Clustering with the Fuzzy ART Neural Network," Proc. Int'l Workshop on Neural Networks for Identification, Control, Robotics, and Signal Processing (NICROSP'96), 117-125, Venice, Italy, August 1996. [nominated -- Best Paper Award]
Doctoral Thesis
E. Granger, "Une étude des réseaux de neurones artificiels pour la classification rapide d’impulsions radars," Ph.D. Thesis, École Polytechnique de Montréal, 243 pages, January 2002 (National Library of Canada, ISBN: 0-612-71310-5).
Technical Reports
 Granger, E., Gorodnichy, D.O.,. (2014). Evaluation methodology for face recognition technology in video surveillance applications. 36. Canadian Border Services Agency, Border Technology Division, Division Report 2014-29
 Granger, E., Radtke, P., Gorodnichy, D.O.(2014). Survey of academic research and prototypes for
face recognition in video. 40. Canadian Border Services Agency, Border Technology Division, Division Report 2014-25
 Neves, E., Gorodnichy, D.O., Matwin, S., Granger, E.(2014). Evaluation of different features for face recognition in video. 30. Canadian Border Services Agency, Border Technology Division, Division Report 2014-31
 Granger, E., Gorodnichy, D.O., Choy, E., Khreich, W., Radtke, P., Bergeron, J.-P., Bissessar, D.(2014). Results from evaluation of three commercial off-the-shelf face recognition systems on Chokepoint dataset. 30. Canadian Border Services Agency, Border Technology Division, Division Report 2014-27
 Gorodnichy, D.O., Granger, E., Radtke, P.,. (2014). Survey of commercial technologies for face recognition in video. 30. Canadian Border Services Agency, Border Technology Division, Division Report 2014-22
 Granger, E., Radtke, P.V.W, Sabourin, R,. (2012). Evaluation of Technologies for Face Recognition in Video Surveillance, PROVE-IT (FRiV) – CBSA Final Deliverable. 135. École de technologie supérieure
 Lepage, R., Granger, E.(2011). Méthodes d’évaluation de l’achalandage du Quartier des spectacles, ETS-RT- 2011-002. 50. École de technologie supérieure
G. Latombe, E. Granger and F. Dilkes, "Fast Learning of Grammatical Probabilities in Radar Electronic Support," Defence R & D Canada – Ottawa TM 2009-053, 114 pages, June 2009.
E. Granger and T.-M. Goh "A Linear Systolic Array Processor for Public-Key Cryptography," Integrated System Design, Mitel Networks, document to support a patent application, 67 pages, December 2003, confidential.
E. Granger, "An FPGA Implementation of the AES Algorithm," Integrated System Design, Mitel Networks, DK112734, 22 pages, September 2003, confidential.
E. Granger and T.-M. Goh "A Public-Key Security Processor," Integrated System Design, Mitel Networks, DK112430, 96 pages, November 2002, confidential.
E. Granger, "Advanced Encryption Standard (AES) ASIC Core Specification," Integrated System Design, Mitel Networks, DK111039, 37 pages, May 2002, confidential.
E. Granger, Y. Savaria and P. Lavoie, "A Pattern Reordering Approach Based on Ambiguity Detection for On-Line Category Learning," Département de génie électrique, École Polytechnique de Montréal, EPM/RT-01/02, 40 pages, September 2001.
B. Ford, J. Mickeal and E. Granger, "A Comparative Analysis of Selected ESM Deinterleavers (U)," DREO Technical Report TR 2000-097, Defence Research Establishment Ottawa, 105 pages, November 2000.
E. Granger, D. Prodanos and P. Lavoie, "Adaptive Learning for Future Radar and Communications ESM (C)," successful Technology Investment Fund (TIF) Project Proposal, Defence Research Establishment Ottawa, 9 pages, June 2000.
E. Granger, M. A. Rubin, S. Grossberg and P. Lavoie, " Radar ESM with a What-and-Where Fusion Neural Network," Technical Report CAS/CNC-2000-029, Department of Cognitive and Neural Systems, Boston University, 33 pages, September 2000.
E. Granger, M. A. Rubin, S. Grossberg and P. Lavoie, "Classification of Incomplete Data Using the Fuzzy ARTMAP Neural Network," Technical Report CAS/CNC-2000-001, Department of Cognitive and Neural Systems, Boston University, 6 pages, January 1999.
E. Granger, S. Grossberg, P. Lavoie and M. A. Rubin, "A Comparison of Classifiers for Radar Emitter Type Identification," Technical Report CAS/CNC-99-014, Department of Cognitive and Neural Systems, Boston University, 8 pages, May 1999.


Intérêts en recherche

Je démarre présentement plusieurs activités de recherche et de développement liées à mon axe principal de recherche – soit explorer et développer des techniques robustes d'apprentissage incrémental pour la détection et la classification automatique. Mes principaux intérêts de recherche gravitent autour:

  • de la reconnaissance de formes;
  • des systèmes intelligents et évolutifs;
  • d’algorithmes pour l’apprentissage incrémental;
  • de la détection de nouveauté;
  • des réseaux de neurones artificiels;
  • des modèles de Markov cachés, des grammaires stochastiques, et des réseaux Bayesiens;
  • de l’intégration de systèmes microélectroniques;
  • de la cryptographie et sécurité dans les réseaux informatiques.

Les domaines d’application qui sont ciblés par mes recherches ont trait aux systèmes adaptatifs pour la reconnaissance, la sécurité et la surveillance, soit:

  • la surveillance militaire: (1) la reconnaissance rapide de l'identité et de l’état d’émetteurs radar; (2) la détection de changements et l’analyse d’événements et de situations à partir d’images satellitaire;
  • la sécurité dans les réseaux informatiques: la détection d’intrusions (i.e., d’anomalies et de mauvais emploi);
  • la reconnaissance biométrique: la reconnaissance de visages en environnements non contraints, la vérification de signatures manuscrites, la conception de filtres numériques pour la restauration d’images;
  • la reconnaissance de formes en général: la reconnaissance automatique de caractères manuscrits.

La liste suivante résume mes activités de recherche et de développement, ainsi que mes collaborations correspondantes:

  • Réseaux de neurones fuzzy ARTMAP pour la reconnaissance automatique de caractères manuscrits (Robert Sabourin de l’ÉTS et Luiz Oliveira du Pontifìcia Universidade Catòlica do Paranà, Brésil);
  • Algorithmes de classification pour l’apprentissage incrémental supervisé (Robert Sabourin de l’ÉTS et Luiz Oliveira du Pontifìcia Universidade Catòlica do Paranà, Brésil);
  • Apprentissage incrémental des paramètres et des topologies de Modèles de Markov cachées pour la sécurité informatique (Ali Miri de l’Université d’Ottawa et Robert Sabourin de l’ÉTS);
  • Modélisation électronique de filtres numériques pour la restauration d’images bruitées (Yvon Savaria de l’École Polytechnique de Montréal);
  • Incremental Learning in Automatic Radar Emitter Recognition (Fred Dilkes de RDDC Ottawa);
  • Détection et classification rapide de trafique Internet P2P (Ali Miri et Bijan Raahemi de l’Université d’Ottawa et Alcatel Canada);
  • Apprentissage incrémental et détection de changements pour les systèmes de vérification de l’identité (Robert Sabourin de l’ÉTS et Patrick Maupin de RDDC Valcartier);
  • Systèmes neuroniques pour la reconnaissance automatique de visages à partir de séquences video numériques (Dr. Dmitry Gorodnichy de l’Institut de technologie de l'information du CNRC).

Affiliation: membre du Laboratoire d'imagerie, de vision et d'intelligence artificielle (LIVIA).



Équipe de Recherche

 Professor
  • Prof. Eric Granger

Post-Doctorate
  • Dr. Farshad Nourbakhsh
  • Dr. Reza Shoja Ghiass

Étudiants actuels

Ph.D. students
  • Saman Bashbaghi
  • Marc-André Carbonneau
  • Roghayeh Soleymani
  • Faniya Mokhayeri

Master's degree students
  •  Salois, Patrick


Anciens étudiants

Post-Doctorate
  • Dewan, Mohamed Ali
  • Rattani, Ajita
  • Radtke, Paulo Vinicius
  • Ksantini, Riadh

Ph.D. students
  •  Pagano, Christophe
  • de la Torre Gómora, Miguel Ángel
  • Guerdy, Bassem
  • Eskander, George
  • Vellasques, Eduardo
  • Connolly, Jean-François
  • Batista, Luana Bezerra
  • Khreich, Wael

Master's degree students
  • Amara, Ibtihel
  • Tliba, Safa
  • Prieur, Donavan
  • Pagano, Christophe

Bachelore's degree students
  • Tijami, Adil
  • Naud, Richard


Résumé

Expérience                     Télécharger Resume au format PDF

  • Directore of LIVIA
       Génie de la production automatisée              
       École de technologie supérieure
       06/2014 - Present
 
  • Assistant professor
       Génie de la production automatisée              
       École de technologie supérieure
       06/2007 - 06/2014
 
  • Research Scientist
       Science and Engineering Directorate                                                                      Canadian Border Services Agency
       06/2010 - 06/2011

  • Assistant Professor
    École de technologie supérieure, CANADA
    Génie de la production automatisée
    01/2004 - 06/2007                                                                                                                                                                                
  • ASIC Engineer / Scientist
    Mitel Networks, CANADA
       Research and Development (Integrated Systems Design)
       02/2001 - 10/200

  • Defence Scientists
    Defence Research and Development Canada (DRDC)
    Ottawa, CANADA
    Electronic Warfare (Electronic Support Measure)
    01/1999 - 02/2001

  • Visiting Scholar
    Boston University, UNITED STATES
    Cognitive and Neural Systems
    01/1998 - 05/1998

  • Research Assistant
    Université du Québec à Montréal, CANADA
    Informatique
    05/1994 - 09/1994

University training in research

  • Doctorate (PhD), Ph.D., Génie électrique, École Polytechnique de Montréal, CANADA2002                                                                                                                                                           
  • Bachelor's, B.Sc.A., Microélectronique. Université du Québec à Montréal, CANADA1995