Publications

Export 14 results:
Filters: Author is Eric Granger  [Clear All Filters]
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z 
W
G. L. Marcialis, Didaci, L., Pisano, A., Granger, E., and Roli, F., “Why template self-update should work in biometric authentication systems?”, in Information Science, Signal Processing and their Applications (ISSPA), 2012 11th International Conference on, Montreal, QC, 2012.
V
M. A. A. Dewan, Granger, E., Sabourin, R., Marcialis, G. L., and Roli, F., “Video Face Recognition From A Single Still Image Using an Adaptive Appearance Model Tracker”, in IEEE Symposium Series on Computational Intelligence: IEEE Symposium on Computational Intelligence in Biometrics and Identity Management (CIBIM 2015), 2015, pp. 192-202. (533.82 KB)
P
R. Soleymani, Granger, E., and Fumera, G., “Progressive Boosting for Class Imbalance and Its Application to Face Re-Identification”, Expert Systems With Applications, vol. 101, p. 21, 2018. (1.11 MB)
L
R. Soleymani, Granger, E., and Fumera, G., “Loss Factors for Learning Boosting Ensembles from Imbalanced Data”, in 23rd International Conference on Pattern Recognition (ICPR 2016), Cancún, Mexico, 2016. (435.44 KB)
F
R. Soleymani, Granger, E., and Fumera, G., “F-Measure Curves for Visualizing Classifier Performance with Imbalanced Data”, in 8th IAPR TC3 Workshop on Artificial Neural Networks in Pattern Recognition (ANNPR 2018), Siena, 2018. (413.21 KB)
R. Soleymani, Granger, E., and Fumera, G., “F-Measure Curves: A Tool to Visualize Classifier Performance Under Imbalance”, Pattern Recognition, vol. 100, p. 107146, 2020. (3.15 MB)
E
C. Pagano, Granger, E., Sabourin, R., Rattani, A., Marcialis, G. L., and Roli, F., “Efficient Adaptive Face Recognition Systems Based on Capture Conditions, Proc. of ”, in IEEE Workshop on Computational Intelligence in Biometrics and Identity Management (CIBIM 2014), 2014. (574.39 KB)
D
C. Pagano, Granger, E., Sabourin, R., Marcialis, G. L., and Roli, F., “Dynamic weighted fusion of adaptive classifier ensembles based on changing data streams, In: Gayar N.E., Schwenker F., Suen C.Y, , , pp”, in 6th IAPR TC3 International Workshop on Artificial Neural Networks for Pattern Recognition (ANNPR 2014), 2014, vol. Springer LNAI 8774, pp. 105-116. (1.89 MB)
A. Rattani, Marcialis, G. L., Granger, E., and Roli, F., “A Dual-staged Classification-Selection Approach for Automated Update of Biometric Templates”, in International Conference on Pattern Recognition (ICPR), Tsukuba Science City, JAPAN, 2012.
C
M. A. A. Dewan, Granger, E., Sabourin, R., Roli, F., and Marcialis, G. L., “A comparison of adaptive appearance methods for tracking faces in video surveillance”, in 5th International Conference on Imaging for Crime Detection and Prevention (ICDP-13), 2013.
R. Soleymani, Granger, E., and Fumera, G., “Classifier Ensembles with Trajectory Under-Sampling for Face Re-Identification”, in 5th International Conference on Pattern Recognition Applications and Methods (ICPRAM 2016), Rome, Italy, 2016, vol. 1, pp. 97-108. (556.82 KB)
A
C. Pagano, Granger, E., Sabourin, R., Marcialis, G. L., and Roli, F., “Adaptive Ensembles for Face Recognition in Changing Video Surveillance Environments”, Information Sciences, vol. 206, 2014. (3.17 MB)
C. Pagano, Granger, E., Sabourin, R., Marcialis, G. L., and Roli, F., “Adaptive Classification for Person Re-Identification Driven by Change Detection”, in 3rd Int. Conf. on Pattern Recognition Applications and Methods (ICPRAM 2014), 2014. (316.11 KB)
M. A. A. Dewan, Granger, E., Marcialis, G. L., Sabourin, R., and Roli, F., “Adaptive Appearance Model Tracking for Still-to-Video Face Recognition”, Pattern Recognition, vol. 49, no. 1, 2016. (6.51 MB)