Eric Granger
Cited by
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Multiple Instance Learning: A Survey of Problem Characteristics and Applications
MA Carbonneau, V Cheplygina, E Granger, G Gagnon
Pattern Recognition 77, 329-353, 2018
A what-and-where fusion neural network for recognition and tracking of multiple radar emitters
E Granger, M Rubin, S Grossberg, P Lavoie
Neural Networks 14 (3), 325-344, 2001
An adaptive classification system for video-based face recognition
JF Connolly, E Granger, R Sabourin
Information Sciences 192, 50-70, 2012
Iterative Boolean combination of classifiers in the ROC space: An application to anomaly detection with HMMs
W Khreich, E Granger, A Miri, R Sabourin
Pattern Recognition 43 (8), 2732-2752, 2010
A survey of techniques for incremental learning of HMM parameters
W Khreich, E Granger, A Miri, R Sabourin
Information Sciences 197, 105-130, 2012
Optics for high-performance servers and supercomputers
AF Benner, DM Kuchta, PK Pepeljugoski, RA Budd, G Hougham, ...
2010 Conference on Optical Fiber Communication (OFC/NFOEC), collocated …, 2010
Multi-feature extraction and selection in writer-independent off-line signature verification
D Rivard, E Granger, R Sabourin
International Journal on Document Analysis and Recognition (IJDAR) 16 (1 …, 2013
Dynamic selection of generative–discriminative ensembles for off-line signature verification
L Batista, E Granger, R Sabourin
Pattern Recognition 45 (4), 1326-1340, 2012
Hybrid writer-independent–writer-dependent offline signature verification system
GS Eskander, R Sabourin, E Granger
IET biometrics 2 (4), 169-181, 2013
Adaptive ROC-based ensembles of HMMs applied to anomaly detection
W Khreich, E Granger, A Miri, R Sabourin
Pattern Recognition 45 (1), 208-230, 2012
Decoupling Direction and Norm for Efficient Gradient-Based L2 Adversarial Attacks and Defenses
J Rony, LG Hafemann, LS Oliveira, I Ben Ayed, R Sabourin, E Granger
CVPR 2019: IEEE Conference on Computer Vision and Pattern Recognition, Long …, 2019
Constrained-CNN losses for weakly supervised segmentation
H Kervadec, J Dolz, M Tang, E Granger, Y Boykov, IB Ayed
Medical Image Analysis 54, 88-99, 2019
Adaptive appearance model tracking for still-to-video face recognition
MAA Dewan, E Granger, GL Marcialis, R Sabourin, F Roli
Pattern Recognition 49, 129–151, 2016
Classification of incomplete data using the fuzzy ARTMAP neural network
E Granger, M Rubin, S Grossberg, P Lavoie
International Joint Conference on Neural Networks, 2000
Partially-supervised learning from facial trajectories for face recognition in video surveillance
M De-la-Torre, E Granger, PVW Radtke, R Sabourin, DO Gorodnichy
Information Fusion 24, 31–53, 2015
On the memory complexity of the forward–backward algorithm
W Khreich, E Granger, A Miri, R Sabourin
Pattern Recognition Letters 31 (2), 91-99, 2010
Adaptive ensembles for face recognition in changing video surveillance environments
C Pagano, E Granger, R Sabourin, GL Marcialis, F Roli
Information sciences 286, 75-101, 2014
State of the art in off-line signature verification
L Batista, D Rivard, R Sabourin, E Granger, P Maupin
Pattern Recognition Technologies and Applications: Recent Advances, 39-62, 2008
A comparison of self-organizing neural networks for fast clustering of radar pulses
E Granger, Y Savaria, P Lavoie, MA Cantin
Signal Processing 64 (3), 249-269, 1998
Supervised learning of fuzzy artmap neural networks through particle swarm optimization
E Granger, P Henniges, R Sabourin, LS Oliveira
Journal of Pattern Recognition Research 2 (1), 27-60, 2007
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