| La vitrine de diffusion des publications et contributions des chercheurs de l'ÉTS |
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Liste des publications de "Granger, Éric"Nombre de documents archivés : 230. 2024
de Melo, Wheidima Carneiro, Granger, Eric et Lopez, Miguel Bordallo.
2024.
« Facial expression analysis using decomposed multiscale spatiotemporal networks ».
Expert Systems with Applications, vol. 236.
Shamsolmoali, Pourya, Zareapoor, Masoumeh, Das, Swagatam, Granger, Eric et Garcia, Salvador.
2024.
« Hybrid Gromov-Wasserstein embedding for capsule learning ».
IEEE Transactions on Neural Networks and Learning Systems.
2023
Aslam, Muhammad Haseeb, Osama Zeeshan, Muhammad, Pedersoli, Marco, Koerich, Alessandro L., Bacon, Simon et Granger, Eric.
2023.
« Privileged knowledge distillation for dimensional emotion recognition in the wild ».
In IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (Vancouver, BC, Canada, June 17-24, 2023)
pp. 3338-3347.
IEEE Computer Society.
Belharbi, Soufiane, Ben Ayed, Ismail, McCaffrey, Luke et Granger, Eric.
2023.
« TCAM: Temporal class activation maps for object localization in weakly-labeled unconstrained videos ».
In 23rd IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (Waikoloa, HI, USA, Jan. 02-07, 2023)
pp. 137-146.
Institute of Electrical and Electonics Engineers Inc..
Carneirodemelo, Wheidima, Granger, Eric G. et Bordallo Lopez, Miguel.
2023.
« MDN: A deep maximization-differentiation network for spatio-temporal depression detection ».
IEEE Transactions on Affective Computing, vol. 14, nº 1.
pp. 578-590.
Dubail, Thomas, Guerrero Peña, Fidel Alejandro, Medeiros, Heitor Rapela, Aminbeidokhti, Masih, Granger, Eric et Pedersoli, Marco.
2023.
« Privacy-preserving person detection using low-resolution infrared cameras ».
In Computer Vision – ECCV 2022 Workshops (Tel Aviv, Israel, Oct. 23-27, 2022)
Coll. « Lecture Notes in Computer Science », vol. 13805.
pp. 689-702.
Springer Science and Business Media.
Guerrero Peña, Fidel A., Medeiros, Heitor Rapela, Dubail, Thomas, Aminbeidokhti, Masih, Granger, Eric G. et Pedersoli, Marco.
2023.
« Re-basin via implicit Sinkhorn differentiation ».
In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (Vancouver, BC, Canada, June 17-24, 2023)
pp. 20237-20246.
IEEE Computer Society.
Josi, Arthur, Alehdaghi, Mahdi, Cruz, Rafel M. O. et Granger, Eric.
2023.
« Multimodal data augmentation for visual-infrared person ReID with corrupted data ».
In IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, WACVW (Waikoloa, HI, USA, Jan. 03-07, 2023)
pp. 32-41.
Institute of Electrical and Electronics Engineers Inc..
Meethal, Akhil, Granger, Eric et Pedersoli, Marco.
2023.
« Cascaded zoom-in detector for high resolution aerial images ».
In IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (Vancouver, BC, Canada, June 17-24, 2023)
pp. 2046-2055.
IEEE Computer Society.
Mekhazni, Djebril, Dufau, Maximilien, Desrosiers, Christian, Pedersoli, Marco et Granger, Eric.
2023.
« Camera alignment and weighted contrastive learning for domain adaptation in video person ReID ».
In IEEE Winter Conference on Applications of Computer Vision, WACV (Waikoloa, HI, USA, Jan. 02-07, 2023)
pp. 1624-1633.
Institute of Electrical and Electronics Engineers Inc..
Murtaza, Shakeeb, Belharbi, Soufiane, Pedersoli, Marco, Sarraf, Aydin et Granger, Eric.
2023.
« DiPS: Discriminative pseudo-label sampling with self-supervised transformers for weakly supervised object localization ».
Image and Vision Computing, vol. 140.
Murtaza, Shakeeb, Belharbi, Soufiane, Pedersoli, Marco, Sarraf, Aydin et Granger, Eric.
2023.
« Discriminative sampling of proposals in self-supervised transformers for weakly supervised object localization ».
In IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, WACVW (Waikoloa, HI, USA, Jan. 03-07, 2023)
pp. 155-165.
Institute of Electrical and Electronics Engineers Inc..
Praveen, R. Gnana, Cardinal, Patrick et Granger, Eric.
2023.
« Audio-visual fusion for emotion recognition in the valence-arousal space using joint cross-attention ».
IEEE Transactions on Biometrics, Behavior, and Identity Science, vol. 5, nº 3.
pp. 360-373.
Shamsolmoali, Pourya, Zareapoor, Masoumeh, Das, Swagatam, Garcia, Salvador, Granger, Eric et Yang, Jianyi.
2023.
« GEN: Generative Equivariant Networks for diverse image-to-image translation ».
IEEE Transactions on Cybernetics, vol. 53, nº 2.
pp. 874-886.
Shamsolmoali, Pourya, Zareapoor, Masoumeh et Granger, Eric.
2023.
« Image completion via dual-path cooperative filtering ».
In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (Rhodes Island, Greece, June 04-10, 2023)
IEEE.
Shamsolmoali, Pourya, Zareapoor, Masoumeh et Granger, Eric.
2023.
« Transinpaint: Transformer-based image inpainting with context adaptation ».
In IEEE/CVF International Conference on Computer Vision Workshops (ICCVW) (Paris, France, Oct. 02-06, 2023)
pp. 849-858.
Institute of Electrical and Electronics Engineers.
Xu, Yifan, Shamsolmoali, Pourya, Granger, Eric, Nicodeme, Claire, Gardes, Laurent et Yang, Jie.
2023.
« TransVLAD: Multi-scale attention-based global descriptors for visual geo-localization ».
In IEEE Winter Conference on Applications of Computer Vision, WACV (Waikoloa, HI, USA, Jan. 02-07, 2023)
pp. 2839-2848.
Institute of Electrical and Electronics Engineers Inc.. 2022
Belharbi, Soufiane, Pedersoli, Marco, Ben Ayed, Ismail, McCaffrey, Luke et Granger, Éric.
2022.
« Negative evidence matters in interpretable histology image classification ».
In Medical Imaging with Deep Learning MIDL (Zurich, Switzerland, July 06-08, 2022)
Coll. « Proceedings of Machine Learning Research », vol. 172.
pp. 103-129.
ML Research Press.
Belharbi, Soufiane, Rony, Jérôme, Dolz, Jose, Ben Ayed, Ismail, McCaffrey, Luke et Granger, Eric.
2022.
« Deep interpretable classification and weakly-supervised segmentation of histology images via max-min uncertainty ».
IEEE Transactions on Medical Imaging, vol. 41, nº 3.
pp. 702-714.
Belharbi, Soufiane, Sarraf, Aydin, Pedersoli, Marco, Ben Ayed, Ismail, McCaffrey, Luke et Granger, Eric.
2022.
« F-CAM: Full resolution class activation maps via guided parametric upscaling ».
In IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (Waikoloa, HI, USA, Jan. 03-08, 2022)
pp. 3727-3736.
Institute of Electrical and Electronics Engineers Inc..
de Melo, Wheidima Carneiro, Granger, Eric et Hadid, Abdenour.
2022.
« A deep multiscale spatiotemporal network for assessing depression from facial dynamics ».
IEEE Transactions on Affective Computing, vol. 13, nº 3.
Hafner, Frank M., Bhuyian, Amran, Kooij, Julian F. P. et Granger, Eric.
2022.
« Cross-modal distillation for RGB-depth person re-identification ».
Computer Vision and Image Understanding, vol. 216.
Kervadec, H., Dolz, J., Yuan, J., Desrosiers, C., Granger, E. et Ben Ayed, I..
2022.
« Constrained deep networks: Lagrangian optimization via Log-barrier extensions ».
In 30th European Signal Processing Conference (EUSIPCO) (Belgrade, Serbia, Aug. 29-Sept. 02, 2022)
pp. 962-966.
European Signal Processing Conference, EUSIPCO.
Kiran, Madhu, Nguyen-Meidine, Le Thanh, Sahay, Rajat, Cruz, Rafael Menelau Oliveira E., Blais-Morin, Louis-Antoine et Granger, Eric.
2022.
« Dynamic template selection through change detection for adaptive siamese tracking ».
In International Joint Conference on Neural Networks (IJCNN) (Padua, Italy, July 18-23, 2022)
IEEE.
Kiran, Madhu, Nguyen-Meidine, Le Thanh, Sahay, Rajat, Cruz, Rafael Menelau Oliveira E., Blais-Morin, Louis-Antoine et Granger, Eric.
2022.
« Generative target update for adaptive siamese tracking ».
In Pattern Recognition and Artificial Intelligence : Third International Conference, ICPRAI 2022 : Proceedings, Par I (Paris, France, June 01-03, 2022)
Coll. « Lecture Notes in Computer Science », vol. 13363.
pp. 502-513.
Springer Science and Business Media Deutschland GmbH.
Meethal, Akhil, Pedersoli, Marco, Zhu, Zhongwen, Romero, Francisco Perdigon et Granger, Eric.
2022.
« Semi-weakly supervised object detection by sampling pseudo ground-truth boxes ».
In International Joint Conference on Neural Networks (IJCNN) (Padua, Italy, July 18-23, 2022)
Institute of Electrical and Electronics Engineers Inc..
Nguyen-Meidine, Le Thanh, Kiran, Madhu, Pedersoli, Marco, Dolz, Jose, Blais-Morin, Louis-Antoine et Granger, Eric.
2022.
« Incremental multi-target domain adaptation for object detection with efficient domain transfer ».
Pattern Recognition, vol. 129.
Praveen, R. G., de Melo, W. C., Ullah, N., Aslam, H., Zeeshan, O., Denorme, T., Pedersoli, M., Koerich, A. L., Bacon, S., Cardinal, P. et Granger, E..
2022.
« A joint cross-attention model for audio-visual fusion in dimensional emotion recognition ».
In IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (New Orleans, LA, USA, June 19-20, 2022)
pp. 2485-2494.
Piscataway, NJ, USA : IEEE.
Shamsolmoali, Pourya, Zareapoor, Masoumeh, Jie, Yang, Granger, Eric et Chanussot, Jocelyn.
2022.
« Enhanced single-shot detector for small object detection in remote sensing images ».
In IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium (Kuala Lumpur, Malaysia, July 17-22, 2022)
pp. 1716-1719.
Piscataway, NJ, USA : IEEE.
Shamsolmoali, Pourya, Zareapoor, Masoumeh, Yang, Jie, Granger, Eric et Zhou, Huiyu.
2022.
« Salient skin lesion segmentation via dilated scale-wise feature fusion network ».
In 26th International Conference on Pattern Recognition (ICPR) (Montreal, QC, Canada, Aug. 21-25, 2022)
pp. 4219-4225.
Institute of Electrical and Electronics Engineers Inc.. 2021
Ayral, Theo, Pedersoli, Marco, Bacon, Simon et Granger, Eric.
2021.
« Temporal stochastic softmax for 3D CNNs : An application in facial expression recognition ».
In IEEE Winter Conference on Applications of Computer Vision (WACV) (En ligne, Jan. 05-09, 2021)
pp. 3028-3037.
Institute of Electrical and Electronics Engineers.
Belharbi, Soufiane, Ben Ayed, Ismail, McCaffrey, Luke et Granger, Eric.
2021.
« Deep active learning for joint classification segmentation with weak annotator ».
In IEEE Winter Conference on Applications of Computer Vision (WACV) (Waikoloa, HI, USA, Jan. 03-08, 2021)
pp. 3337-3346.
Los Alamitos, CA, USA : IEEE Computer Society.
Fonseca, Jesús, De-la-Torre, Miguel, Cervantes, Salvador, Granger, Eric et Mejia, Jezreel.
2021.
« COMET-OCEP: A software process for research and development ».
In New Perspectives in Software Engineering : Proceedings of the 9th International Conference on Software Process Improvement (CIMPS 2020) (Mazatlán, Mexico, Oct. 21-23, 2020)
Coll. « Advances in Intelligent Systems and Computing », vol. 1297.
pp. 99-112.
Springer.
Kervadec, Hoel, Bouchtiba, Jihene, Desrosiers, Christian, Granger, Eric, Dolz, José et Ben Ayed, Ismail.
2021.
« Boundary loss for highly unbalanced segmentation ».
Medical Image Analysis, vol. 67.
Kiran, Madhu, Bhuiyan, Amran, Nguyen-Meidine, Le Thanh, Blais-Morin, Louis-Antoine, Ben Ayed, Ismail et Granger, Eric.
2021.
« Flow guided mutual attention for person re-identification ».
Image and Vision Computing, vol. 113.
Kiran, Madhu, Praveen, Gnana R., Nguyen-Meidine, Le Thanh, Belharbi, Soufiane, Blais Morin, Louis-Antoine et Granger, Eric.
2021.
« Holistic guidance for occluded person re-identification ».
In The 32nd British Machine Vision Conference (En ligne, Nov. 22-25, 2021)
BMVC.
Masson, Hugo, Bhuiyan, Amran, Nguyen-Meidine, Le Thanh, Javan, Mehrsan, Siva, Parthipan, Ben Ayed, Ismail et Granger, Eric.
2021.
« Exploiting prunability for person re-identification ».
Eurasip Journal on Image and Video Processing, vol. 2021, nº 1.
Nguyen-Meidine, L. T., Belal, A., Kiran, M., Dolz, J., Blais-Morin, L. A. et Granger, E..
2021.
« Unsupervised multi-target domain adaptation through knowledge distillation ».
In IEEE Winter Conference on Applications of Computer Vision (WACV) (Waikoloa, HI, USA, Jan. 03-08, 2021)
pp. 1338-1346.
Los Alamitos, CA, USA : IEEE Computer Society.
Nguyen-Meidine, Le Thanh, Belal, Atif, Kiran, Madhu, Dolz, Jose, Blais-Morin, Louis-Antoine et Granger, Eric.
2021.
« Knowledge distillation methods for efficient unsupervised adaptation across multiple domains ».
Image and Vision Computing, vol. 108.
Praveen, R. Gnana, Granger, Eric et Cardinal, Patrick.
2021.
« Cross attentional audio-visual fusion for dimensional emotion recognition ».
In 16th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2021) (Jodhpur, India, Dec. 15-18, 2021)
Institute of Electrical and Electronics Engineers Inc..
Rajasekhar, Gnana Praveen, Granger, Eric et Cardinal, Patrick.
2021.
« Deep domain adaptation with ordinal regression for pain assessment using weakly-labeled videos ».
Image and Vision Computing, vol. 110.
Rony, Jerome, Granger, Eric, Pedersoli, Marco et Ben Ayed, Ismail.
2021.
« Augmented Lagrangian Adversarial Attacks ».
In 18th IEEE/CVF International Conference on Computer Vision (ICCV) (Montreal, QC, Canada - en ligne, Oct. 10-17, 2021)
pp. 7718-7727.
Institute of Electrical and Electronics Engineers Inc..
Shamsolmoali, Pourya, Zareapoor, Masoumeh, Granger, Eric, Zhou, Huiyu, Wang, Ruili, Celebi, M. Emre et Yang, Jie.
2021.
« Image synthesis with adversarial networks: A comprehensive survey and case studies ».
Information Fusion, vol. 72.
pp. 126-146.
Teixeira, Thomas, Granger, Eric et Koerich, Alessandro Lameiras.
2021.
« Continuous emotion recognition with spatiotemporal convolutional neural networks ».
Applied Sciences, vol. 11, nº 24.
2020
Bhuiyan, Amran, Liu, Yang, Siva, Parthipan, Javan, Mehrsan, Ben Ayed, Ismail et Granger, Éric.
2020.
« Pose guided gated fusion for person re-identification ».
In IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (Snowmass Village, CO, USA, Mar. 01-05, 2020)
pp. 2664-2673.
Institute of Electrical and Electronics Engineers Inc..
Boudiaf, Malik, Rony, Jérôme, Ziko, Imtiaz Masud, Granger, Eric, Pedersoli, Marco, Piantanida, Pablo et Ben Ayed, Ismail.
2020.
« A unifying mutual information view of metric learning: Cross-entropy vs. Pairwise losses ».
In Computer Vision – ECCV 2020 : 16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part VI (Glasgow, United Kingdom, Aug. 23-28, 2020)
Coll. « Lecture Notes in Computer Science », vol. 12351.
pp. 548-564.
Springer.
Carbonneau, Marc-André, Granger, Eric, Attabi, Yazid et Gagnon, Ghyslain.
2020.
« Feature learning from spectrograms for assessment of personality traits ».
IEEE Transactions on Affective Computing, vol. 11, nº 1.
pp. 25-31.
Chakravorty, Tanushri, Bilodeau, Guillaume-Alexandre et Granger, Éric.
2020.
« Robust face tracking using multiple appearance models and graph relational learning ».
Machine Vision and Applications, vol. 31, nº 4.
De Melo, Wheidima Carneiro, Granger, Eric et Lopez, Miguel Bordallo.
2020.
« Encoding temporal information for automatic depression recognition from facial analysis ».
In IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) (Barcelona, Spain, May 04-08, 2020)
pp. 1080-1084.
Institute of Electrical and Electronics Engineers Inc..
Ekladious, George, Lemoine, Hugo, Granger, Eric, Kamali, Kaveh et Moudache, Salim.
2020.
« Dual-triplet metric learning for unsupervised domain adaptation in video face recognition ».
In International Joint Conference on Neural Networks (IJCNN) (Glasgow, United Kingdom, July 19-24, 2020)
Piscataway, NJ, USA : IEEE.
Kervadec, Hoel, Dolz, Jose, Wang, Shanshan, Granger, Eric et Ben Ayed, Ismail.
2020.
« Bounding boxes for weakly supervised segmentation: Global constraints get close to full supervision ».
In Medical Imaging with Deep Learning, 6-8 July 2020, Montreal, QC, Canada (Montreal, QC, Canada, July 06-08, 2020)
Coll. « Proceedings of Machine Learning Research », vol. 121.
pp. 365-381.
PLMR.
Le Thanh, Nguyen-Meidine, Granger, Eric, Kiran, Madhu, Dolz, Jose et Blais-Morin, Louis-Antoine.
2020.
« Joint progressive knowledge distillation and unsupervised domain adaptation ».
In International Joint Conference on Neural Networks (IJCNN) (Glasgow, United Kingdom, July 19-24, 2020)
Piscataway, NJ, USA : IEEE.
Meethal, Akhil, Pedersoli, Marco, Belharbi, Soufiane et Granger, Eric.
2020.
« Convolutional STN for weakly supervised object localization ».
In 25th International Conference on Pattern Recognition (ICPR) (Milan, Italy - En ligne, Jan. 10-15, 2021)
pp. 10157-10164.
IEEE.
Mekhazni, Djebril, Bhuiyan, Amran, Ekladious, George et Granger, Eric.
2020.
« Unsupervised domain adaptation in the dissimilarity space for person re-identification ».
In Computer Vision – ECCV 2020 : 16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part VI (Glasgow, United Kingdom, Aug. 23-28, 2020)
Coll. « Lecture Notes in Computer Science », vol. 12372.
pp. 159-174.
Springer.
Mokhayeri, Fania et Granger, Eric.
2020.
« A paired sparse representation model for robust face recognition from a single sample ».
Pattern Recognition, vol. 100.
Mokhayeri, Fania et Granger, Eric.
2020.
« Video face recognition using siamese networks with block-sparsity matching ».
IEEE Transactions on Biometrics, Behavior, and Identity Science, vol. 2, nº 2.
pp. 133-144.
Mokhayeri, Fania, Kamali, Kaveh et Granger, Éric.
2020.
« Cross-Domain face synthesis using a controllable GAN ».
In IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (Snowmass Village, CO, USA, Mar. 01-05, 2020)
pp. 241-249.
Institute of Electrical and Electronics Engineers Inc..
Nguyen-Meidine, Le Thanh, Granger, Eric, Kiran, Madhu, Pedersoli, Marco et Blais-Morin, Louis-Antoine.
2020.
« Progressive gradient pruning for classification, detection and domain adaptation ».
In 25th International Conference on Pattern Recognition (ICPR) (Milan, Italy - en ligne, Jan. 10-15, 2021)
pp. 2795-2802.
Institute of Electrical and Electronics Engineers Inc..
Praveen, Gnana R., Granger, Eric et Cardinal, Patrick.
2020.
« Deep weakly supervised domain adaptation for pain localization in videos ».
In 15th IEEE International Conference on Automatic Face and Gesture Recognition (FG) (Buenos Aires, Argentina, Nov. 16-20, 2020)
pp. 473-480.
IEE Computer Society.
Soleymani, Roghayeh, Granger, Eric et Fumera, Giorgio.
2020.
« F-measure curves: A tool to visualize classifier performance under imbalance ».
Pattern Recognition, vol. 100.
Ziko, Imtiaz Masud, Dolz, Jose, Granger, Eric et Ben Ayed, Ismail.
2020.
« Laplacian regularized few-shot learning ».
In 37th International Conference on Machine Learning (ICML) (En ligne, July 12-18, 2020)
pp. 11596-11606.
2019
Aminbeidokhti, Masih, Pedersoli, Marco, Cardinal, Patrick et Granger, Eric.
2019.
« Emotion recognition with spatial attention and temporal softmax pooling ».
In Image Analysis and Recognition : 16th International Conference, ICIAR : Proceedings (Waterloo, ON, Canada, Aug. 27-29, 2019)
Coll. « Lecture Notes in Computer Science », vol. 11662.
pp. 323-331.
Cham, Switzerland : Springer International Publishing.
Bashbaghi, Saman, Granger, Eric, Sabourin, Robert et Parchami, Mostafa.
2019.
« Deep learning architectures for face recognition in video surveillance ».
In
Deep learning in object detection and recognition.
pp. 133-154. Singapour : Springer.
Carbonneau, Marc-André, Granger, Eric et Gagnon, Ghyslain.
2019.
« Bag-level aggregation for multiple-instance active learning in instance classification problems ».
IEEE Transactions on Neural Networks and Learning Systems, vol. 30, nº 5.
pp. 1441-1451.
Charette Migneault, Francis, Granger, Eric et Mokhayeri, Fania.
2019.
« Using adaptive trackers for video face recognition from a single sample per person ».
In 8th International Conference on Image Processing Theory, Tools and Applications (IPTA 2018) - Proceedings (Xi'an, China, Nov. 7-10, 2018)
Institute of Electrical and Electronics Engineers Inc..
de Melo, Wheidima Carneiro, Granger, Eric et Hadid, Abdenour.
2019.
« Combining global and local convolutional 3D networks for detecting depression from facial expressions ».
In 14th IEEE International Conference on Automatic Face and Gesture Recognition (FG): Proceedings (Lille, France, May 14-18, 2019)
Institute of Electrical and Electronics Engineers Inc..
De Melo, Wheidima Carneiro, Granger, Eric et Hadid, Abdenour.
2019.
« Depression detection based on deep distribution learning ».
In 26th IEEE International Conference on Image Processing (ICIP) (Taipei, Taiwan, Sept. 22-25, 2019)
pp. 4544-4548.
Taipei, Taiwan : IEEE Computer Society.
Hafner, Frank M., Bhuiyan, Amran, Kooij, Julian F. P. et Granger, Eric.
2019.
« RGB-depth cross-modal person re-identification ».
In 16th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS) (Taipei, Taiwan, Sept. 18-21, 2019)
Piscataway, NJ, USA : IEEE.
Kervadec, Hoel, Bouchtiba, Jihene, Desrosiers, Christian, Granger, Eric, Dolz, Jose et Ben Ayed, Ismail.
2019.
« Boundary loss for highly unbalanced segmentation ».
In Proceedings of the 2nd International Conference on Medical Imaging with Deep Learning (PMLR) (London, England, July 08-10, 2019)
Coll. « Proceedings of Machine Learning Research », vol. 102.
pp. 285-296.
PMLR.
Kervadec, Hoel, Dolz, Jose, Granger, Éric et Ben Ayed, Ismail.
2019.
« Curriculum semi-supervised segmentation ».
In Medical Image Computing and Computer Assisted Intervention – MICCAI 2019 : 22nd International Conference, Proceedings, Part II (Shenzhen, China, Oct 13-17, 2019)
Coll. « Lecture Notes in Computer Science », vol. 11765.
pp. 568-576.
Springer.
Kervadec, Hoel, Dolz, Jose, Tang, Meng, Granger, Éric, Boykov, Yuri et Ben Ayed, Ismail.
2019.
« Constrained-CNN losses for weakly supervised segmentation ».
Medical Image Analysis, vol. 54.
pp. 88-99.
Kiran, Madhu, Tiwari, Vivek, Nguyen-Meidine, Le Thanh, Blais Morin, Louis-Antoine et Granger, Eric.
2019.
« On the interaction between deep detectors and siamese trackers in video surveillance ».
In 16th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS) (Taipei, Taiwan, Sept. 18-21, 2019)
Piscataway, NJ, USA : IEEE.
Mokhayeri, Fania et Granger, Eric.
2019.
« Robust video face recognition from a single still using a synthetic plus variational model ».
In 14th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2019) (Lille, France, May 14-18, 2019)
Piscataway, NJ, USA : IEEE.
Mokhayeri, Fania, Granger, Eric et Bilodeau, Guillaume-Alexandre.
2019.
« Domain-specific face synthesis for video face recognition from a single sample per person ».
IEEE Transactions on Information Forensics and Security, vol. 14, nº 3.
pp. 757-772.
Rony, Jérôme, Hafemann, Luiz G., Oliveira, Luiz S., Ben Ayed, Ismail, Sabourin, Robert et Granger, Eric.
2019.
« Decoupling direction and norm for efficient gradient-based L2 adversarial attacks and defenses ».
In 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (Long Beach, CA, USA, June 15-20, 2019)
pp. 4317-4325.
IEEE.
Xiaoting, Wu, Granger, Éric, Kinnunen, Tomi H., Xiaoyi, Feng et Hadid, Abdenour.
2019.
« Audio-visual kinship verification in the wild ».
In International Conference on Biometrics (ICB) (Crete, Greece, June 04-07, 2019)
Piscataway, NJ, USA : IEEE. 2018
Amara, Ibtihel, Granger, Eric et Hadid, Abdenour.
2018.
« Contextual weighting of patches for local matching in still-to-video face recognition ».
In 13th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2018) (Xi'an, China, May 15-19, 2018)
pp. 756-763.
Los Alamitos, CA, USA : IEEE Computer Society.
Carbonneau, Marc-André, Cheplygina, Veronika, Granger, Eric et Gagnon, Ghyslain.
2018.
« Multiple instance learning: A survey of problem characteristics and applications ».
Pattern Recognition, vol. 77.
pp. 329-353.
Chakravorty, Tanushri, Bilodeau, Guillaume-Alexandre et Granger, Éric.
2018.
« Tracking using numerous anchor points ».
Machine Vision and Applications, vol. 29, nº 2.
pp. 247-261.
Dolz, Jose, Xu, Xiaopan, Rony, Jérôme, Yuan, Jing, Liu, Yang, Granger, Éric, Desrosiers, Christian, Zhang, Xi, Ben Ayed, Ismail et Lu, Hongbing.
2018.
« Multiregion segmentation of bladder cancer structures in MRI with progressive dilated convolutional networks ».
Medical Physics, vol. 45, nº 12.
pp. 5482-5493.
Kervadec, Hoel, Dolz, Jose, Tang, Meng, Granger, Éric, Boykov, Yuri et Ben Ayed, Ismail.
2018.
« Constrained-CNN losses for weakly supervised segmentation ».
In 1st Conference on Medical Imaging with Deep Learning (MIDL 2018) (Amsterdam, Netherlands, July 4-6, 2018)
Rony, Jérôme, Gustavo, Luiz, Sabourin, Robert et Granger, Eric.
2018.
« Decoupling direction and norm for efficient gradient-based l2 adversarial attacks ».
In NeurIPS 2018 Workshop on Security in Machine Learning (Montreal, QC, Canada, Dec. 7, 2018)
Soleymani, Roghayeh, Granger, Eric et Fumera, Giorgio.
2018.
« F-Measure curves for visualizing classifier performance with imbalanced data ».
In Artificial Neural Networks in Pattern Recognition : 8th IAPR TC3 Workshop, ANNPR 2018, Siena, Italy, September 19–21, 2018, Proceedings (Siena, Italy, Sept. 19-21, 2018)
Coll. « Lecture Notes in Computer Science », vol. 11081.
pp. 165-177.
Springer.
Soleymani, Roghayeh, Granger, Eric et Fumera, Giorgio.
2018.
« Progressive boosting for class imbalance and its application to face re-identification ».
Expert Systems with Applications, vol. 10.
pp. 271-291.
Ziko, Imtiaz Masud, Granger, Eric et Ben Ayed, Ismail.
2018.
« Scalable Laplacian K-modes ».
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« Signature based Fuzzy Vaults with boosted feature selection ».
In IEEE Workshop on Computational Intelligence in Biometrics and Identity Management (CIBIM) (Paris, France, Apr. 11-15, 2011)
pp. 131-138.
Piscataway, NJ, USA : Institute of Electrical and Electronics Engineers.
Gorodnichy, Dmitry O., Dubrofsky, Elan, Hoshino, Richard, Khreich, Wael, Granger, Éric et Sabourin, Robert.
2011.
« Exploring the upper bound performance limit of iris biometrics using score calibration and fusion ».
In IEEE Workshop on Computational Intelligence in Biometrics and Identity Management (CIBIM) (Paris, France, Apr. 11-15, 2011)
pp. 54-61.
Piscataway, NJ, USA : Institute of Electrical and Electronics Engineers.
Khreich, Wael, Granger, Éric, Miri, Ali et Sabourin, Robert.
2011.
« Incremental boolean combination of classifiers ».
In 10th International Workshop on Multiple Classifier Systems (MCS) (Naples, Italy, June 15-17, 2011)
Coll. « Lecture Notes in Computer Science », vol. 6713.
pp. 340-349.
Germany : Springer Verlag.
Lepage, Richard et Granger, Éric.
2011.
« Méthodes d'évaluation de l'achalandage du quartier des spectacles : étape 1 : revue de documentation ».
Coll. « Rapport technique (École de technologie supérieure) », vol. ETS-RT-2011-002.
Montréal, Canada : École de technologie supérieure. 41 p.
Nault, Samuel, Blaise, Thierry, Fotso, Tasse, Lepage, Richard et Granger, Éric.
2011.
« Dénombrement de foule lors d’événements au quartier des spectacles de Montréal ».
In 79e Congrès de l'ACFAS (Sherbrooke, Canada, 9-13 mai 2011)
Rabil, Bassem S., Sabourin, Robert et Granger, Éric.
2011.
« Impact of watermarking on offline signature verification in intelligent bio-watermarking systems ».
In IEEE Workshop on Computational Intelligence in Biometrics and Identity Management (CIBIM) (Paris, France, Apr. 11-15, 2011)
pp. 13-20.
Piscataway, NJ, USA : Institute of Electrical and Electronics Engineers.
Rabil, Bassem S., Sabourin, Robert et Granger, Éric.
2011.
« Watermarking stack of grayscale face images as dynamic multi-objective optimization problem ».
In International Conference on Mass Data Analysis of Images and Signals in Medicine, Biotechnology, Chemistry and Food Industry (New York, NY, USA, Aug. 30-Sept. 3, 2011)
pp. 63-77.
Germany : IbaI Publishing.
Vellasques, Eduardo, Sabourin, Robert et Granger, Éric.
2011.
« A high throughput system for intelligent watermarking of bi-tonal images ».
Applied Soft Computing, vol. 11, nº 8.
pp. 5215-5229. 2010
Batista, Luana, Granger, Éric et Sabourin, Robert.
2010.
« A multi-classifier system for off-line signature verification based on dissimilarity representation ».
In 9th International Workshop on Multiple Classifier Systems (MCS) (Cairo, Egypt, Apr. 7-9, 2010)
Coll. « Lecture Notes in Computer Science », vol. 5997.
pp. 264-273.
Berlin, Germany : Springer Verlag.
Batista, Luana, Granger, Éric et Sabourin, Robert.
2010.
« Applying dissimilarity representation to off-line signature verification ».
In 20th International Conference on Pattern Recognition (ICPR) (Istanbul, Turkey, Aug. 23-26, 2010)
pp. 1293-1297.
Los Alamitos, CA, USA : Institute of Electrical and Electronics Engineers Computer Society.
Batista, Luana, Granger, Éric et Sabourin, Robert.
2010.
« Improving performance of HMM-based off-line signature verification systems through a multi-hypothesis approach ».
International Journal on Document Analysis and Recognition, vol. 13, nº 1.
pp. 33-47.
Connolly, Jean-François, Granger, Éric et Sabourin, Robert.
2010.
« An adaptive ensemble of fuzzy ARTMAP neural networks for video-based face classification ».
In IEEE Congress on Evolutionary Computation (Barcelona, Spain, July 18-23, 2010)
Piscataway, NJ, USA : Institute of Electrical and Electronics Engineers.
Granger, Éric, Henniges, Philippe, Sabourin, Robert et Oliveira, Luis S..
2010.
« Match tracking strategies for fuzzy ARTMAP neural networks ».
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Granger, Éric, Prieur, D. et Connolly, Jean-François.
2010.
« Evolving ARTMAP neural networks using multi-objective particle swarm optimization ».
In IEEE World Congress on Evolutionary Computation (WCCI) (Barcelona, Spain, July 18-23, 2010)
Piscataway, NJ, USA : Institute of Electrical and Electronics Engineers.
Khreich, Wael, Granger, Éric, Miri, Ali et Sabourin, Robert.
2010.
« Boolean combination of classifiers in the ROC space ».
In 20th International Conference on Pattern Recognition (ICPR) (Istanbul, Turkey, Aug. 23-26, 2010)
pp. 4299-4303.
Los Alamitos, CA, USA : Institute of Electrical and Electronics Engineers Computer Society.
Khreich, Wael, Granger, Éric, Miri, Ali et Sabourin, Robert.
2010.
« Iterative Boolean combination of classifiers in the ROC space : an application to anomaly detection with HMMs ».
Pattern Recognition, vol. 43, nº 8.
pp. 2732-2752.
Khreich, Wael, Granger, Éric, Miri, Ali et Sabourin, Robert.
2010.
« On the memory complexity of the forward-backward algorithm ».
Pattern Recognition Letters, vol. 31, nº 2.
pp. 91-99.
Latombe, Guillaume, Granger, Éric et Dilkes, Fred A..
2010.
« Fast learning of grammar production probabilities in radar electronic support ».
IEEE Transactions on Aerospace and Electronic Systems, vol. 46, nº 3.
pp. 1262-1289.
Rabil, Bassem S., Sabourin, Robert et Granger, Éric.
2010.
« Intelligent watermarking with multi-objective population based incremental learning ».
In 6th International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP) (Darmstadt, Germany, Oct. 15-17, 2010)
pp. 131-134.
Los Alamitos, CA : Institute of Electrical and Electronics Engineers Computer Society.
Vellasques, Eduardo , Sabourin, Robert et Granger, Éric.
2010.
« Intelligent watermarking of document images as a dynamic optimization problem ».
In 6th International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP) (Darmstadt, Germany, Oct. 15-17, 2010)
pp. 139-142.
Los Alamitos, CA : Institute of Electrical and Electronics Engineers Computer Society.
Vellasques, Eduardo, Granger, Éric et Sabourin, Robert.
2010.
« Intelligent watermarking systems : a survey ».
In
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Batista, Luana, Granger, Éric et Sabourin, Robert.
2009.
« A multi-hypothesis approach for off-line signature verification with HMMs ».
In 10th International Conference on Document Analysis and Recognition (ICDAR) (Barcelona, Spain, July 26-29, 2009)
pp. 1315-1319.
Washington, D.C. : Institute of Electrical and Electronics Engineers Computer Society.
Connolly, Jean-François, Granger, Éric et Sabourin, Robert.
2009.
« Incremental adaptation of fuzzy ARTMAP neural networks for video-based face classification ».
In IEEE Symposium on Computational Intelligence for Security and Defense Applications (CISDA) (Ottawa, Ont., Canada, July 8-10, 2009)
Washington, D.C. : Institute of Electrical and Electronics Engineers Computer Society.
Khreich, Wael, Granger, Éric, Miri, Ali et Sabourin, Robert.
2009.
« A comparison of techniques for on-line incremental learning of HMM parameters in anomaly detection ».
In IEEE Symposium on Computational Intelligence for Security and Defense Applications (CISDA) (Ottawa, Ont., Canada, July 8-10, 2009)
Washington, D.C. : Institute of Electrical and Electronics Engineers Computer Society.
Khreich, Wael, Granger, Éric, Sabourin, Robert et Miri, Ali.
2009.
« Combining hidden Markov models for improved anomaly detection ».
In IEEE International Conference on Communications (ICC) (Dresden, Germany, June 14-18, 2009)
Piscataway, NJ, USA : Institute of Electrical and Electronics Engineers.
Latombe, Guillaume, Granger, Éric et Dilkes, Fred A..
2009.
« Fast learning of grammatical probabilities in radar electronic support ».
Ottawa, Canada : Defence R&D Canada -Ottawa. 94 p. 2008
Batista, Luana, Rivard, Dominique, Sabourin, Robert, Granger, Éric et Maupin, Patrick.
2008.
« State of the art in off-line signature verification ».
In
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Connolly, Jean-François, Granger, Éric et Sabourin, Robert.
2008.
« Supervised incremental learning with the fuzzy ARTMAP neural network ».
In Artificial Neural Networks in Pattern Recognition. Third IAPR Workshop (ANNPR) (Paris, France, Jul. 2-4, 2008)
Coll. « Lecture Notes in Computer Science », vol. 5064.
pp. 66-77.
Berlin, Germany : Springer Verlag.
Granger, Éric, Connolly, Jean-Francois et Sabourin, Robert.
2008.
« A comparison of fuzzy ARTMAP and Gaussian ARTMAP neural networks for incremental learning ».
In IEEE International Joint Conference on Neural Networks (IJCNN) (Hong Kong, China, June 1-8, 2008)
pp. 3305-3312.
Piscataway, NJ, USA : Institute of Electrical and Electronics Engineers.
Granger, Eric et Lefrançois, Germain.
2008.
« Novelty detection with probabilistic ARTMAP neural networks ».
In Smart Systems Engineering—Computational Intelligence in Architecting Engineering Systems (St-Louis, MO, USA, Nov. 9-12, 2008)
Coll. « Intelligent Engineering Systems through Artificial Neural Networks », vol. 18.
The American Society of Mechanical Engineers. 2007
Barry, M. et Granger, Éric.
2007.
« Comparison of ARTMAP neural networks for classification for face recognition from video ».
In Image Analysis and Recognition : 4th International Conference, ICIAR 2007, Montreal, Canada, August 22-24, 2007. Proceedings (Montreal, Canada, Aug. 22-24, 2007)
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pp. 794-805.
Heidelberg, Germany : Springer Verlag.
Barry-Camerra, M. et Granger, Éric.
2007.
« Face recognition in video using a what-and-where fusion neural network ».
In International Joint Conference on Neural Networks (IJCNN) (Orlando, FL, USA, Aug. 12-17, 2007)
pp. 2255-2260.
Piscataway, NJ, USA : Institute of Electrical and Electronics Engineers.
Granger, Éric, Henniges, Philippe, Sabourin, Robert et Oliveira, Luiz S..
2007.
« Supervised learning of fuzzy ARTMAP neural networks through particle swarm optimization ».
Journal of Pattern Recognition Research, vol. 2, nº 1.
pp. 27-60.
Latombe, Guillaume, Granger, Éric et Dilkes, Fred A..
2007.
« Incremental learning of stochastic grammars with graphical EM in radar electronic support ».
In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (Honolulu, HI, USA, April 15-20, 2007)
pp. 301-304.
Piscataway, NJ, USA : Institute of Electrical and Electronics Engineers. 2006
Granger, Éric, Henniges, P., Oliveira, L.S. et Sabourin, Robert.
2006.
« Particle swarm optimization of fuzzy ARTMAP parameters ».
In International Joint Conference on Neural Networks (IJCNN) (Vancouver, Canada, Jul. 16-21, 2006)
pp. 2060-2067.
Piscataway, NJ, USA : Institute of Electrical and Electronics Engineers.
Henniges, Philippe, Granger, Éric, Sabourin, Robert et Oliveira, Luiz S..
2006.
« Impact of fuzzy ARTMAP match tracking strategies on the recognition of handwritten digits ».
In Smart systems engineering : infra-structure systems engineering, bio-informatics and computational biology and evolutionary computation : proceedings of the Artificial Neural Networks in Engineering Conference (ANNIE 2006) (Saint-Louis, MO, USA, Nov. 5-8, 2006)
Coll. « Intelligent Engineering Systems through Artificial Neural Networks », vol. 16.
pp. 465-472.
ASME.
Latombe, Guillaume, Granger, Éric et Dilkes, Fred A..
2006.
« Fast incremental techniques for learning production rule probabilities in radar electronic support ».
In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (Toulouse, France, May 14-19, 2006)
pp. 773-776.
Piscataway, NJ, USA : Institute of Electrical and Electronics Engineers.
Latombe, Guillaume, Granger, Éric et Dilkes, Fred A..
2006.
« Maximum likelihood and the graphical em algorithm ».
In Canadian Conference on Electrical and Computer Engineering (CCECE) (Ottawa, ON, Canada, May 7-10, 2006)
pp. 1475-1480.
Piscataway, NJ, USA : Institute of Electrical and Electronics Engineers.
Rivard, Dominique, Granger, Éric et Sabourin, Robert.
2006.
« Feature selection techniques for classification of satellite images with fuzzy ARTMAP neural networks ».
In Intelligent Engineering Systems through Artificial Neural Networks (Saint-Louis, MO, USA, Nov. 5-8, 2006)
pp. 479-486.
ASME. 2005
Henniges, Philippe, Granger, Éric et Sabourin, Robert.
2005.
« Factors of overtraining with fuzzy ARTMAP neural networks ».
In IEEE International Joint Conference on Neural Networks (IJCNN) (Montreal, Canada, Jul. 31-Aug. 4, 2005)
pp. 1075-1080.
Piscataway, NJ, USA : Institute of Electrical and Electronics Engineers. 2004Granger, Éric, Catudal, S., Grou, M., Mbaye, M. et Savia, Y.. 2004. « On current strategies for hardware acceleration of digital image restoration filters ». Communication lors de la conférence : 2004 WSEAS International Conference on Signal, Speech and Image Processing (ICOSSIP) (Izmir, Turkey, Sept. 12-16, 2004).
Granger, Éric, Catudal, Serge, Grou, Robert, Mbaye, Mame Maria et Savaria, Yvon.
2004.
« On current strategies for hardware acceleration of digital image restoration filters ».
WSEAS Transactions on Electronics, vol. 1, nº 3.
pp. 551-557. Maupin, P., Granger, Éric, Wong, Tony et Sabourin, Robert. 2004. « A review of situation recognition models and systems ». Communication lors de la conférence : The 24th Army Science Conference (ASC 2004) (Orlando, FL, USA, Nov. 29-Dec. 2, 2004). 2003
Granger, Eric, Savaria, Yvon et Lavoie, Pierre.
2003.
« A pattern reordering approach based on ambiguity detection for online category learning ».
IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 25, nº 4.
pp. 524-528. 2001
Granger, Eric, Rubin, Mark A., Grossberg, Stephen et Lavoie, Pierre.
2001.
« A What-and-Where fusion neural network for recognition and tracking of multiple radar emitters ».
Neural Networks, vol. 14, nº 3.
pp. 325-344.
Granger, Eric, Rubin, Mark A., Grossberg, Stephen et Lavoie, Pierre.
2001.
« Radar ESM with a what-and-where fusion neural network ».
In Neural Networks for Signal Processing XI : Proceedings of the 2001 IEEE Signal Processing Society Workshop (North Falmouth, MA, USA, Sept. 10-12, 2001)
pp. 539-548.
Piscataway, NJ, USA : IEEE. 2000Cantin, M.-A., Blaquière, Y., Savaria, Y., Lavoie, P. et Granger, E.. 2000. « Effets de quantification sur l'implantation digital du réseau de neurone Fuzzy ». Affiche présentée lors de la conférence : Congrès de l'ACFAS (Montreal, QC, Canada, 15-19 mai 2000).
Cantin, M.-A., Savaria, Y., Blaquière, Y., Granger, E. et Lavoie, P..
2000.
« Analysis of quantization effects in a digital hardware implementation of a fuzzy ART neural network algorithm ».
In ISCAS 2000 Geneva : proceedings of the 2000 IEEE International Symposium on Circuits and Systems (Geneva, Switzerland, May 28-31, 2000)
pp. 141-144.
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Granger, E., Rubin, M. A., Grossberg, S. et Lavoie, P..
2000.
« Classification of incomplete data using the fuzzy ARTMAP neural network ».
In Neural computing: new challenges and perspectives for the new millennium : proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, IJCNN 2000, Como, Italy, 24 - 27 July 2000
pp. 35-40.
Los Alamitos, Calif : IEEE Computer Society. Savaria, Y., Blaquière, Y., Cantin, M.-A., Granger, E., Poiré, P. et Daniel, H.. 2000. « Implementations of the fuzzy ART neural networks on three different plaforms for fast clustering of radar pulses ». Affiche présentée lors de la conférence : GRIAO - Research review, 1998). 1999
Cantin, M.-A., Granger, E., Savaria, Y., Blaquière, Y. et Lavoie, P..
1999.
« Four implementations of the fuzzy ART neural network for high data throughput applications ».
In Proceedings of the third International Conference on Cognitive and Neural Systems (ICCNS'99) (Boston, MA, USA, May 26-29, 1999)
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1999.
« A comparison of classifiers for radar emitter type identification ».
In Smart engineering system design: neural networks, fuzzy logic, evolutionary programming, data mining and complex systems : proceedings of the Artificial Neural Networks in Engineering Conference (ANNIE '99) (St-Louis, MO, USA, Nov. 7-10, 1999)
Coll. « Intelligent engineering systems through artificial neural networks », vol. 9.
pp. 3-12.
New York : ASME Press.
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1999.
« Familiarity discrimination of radar pulses ».
In Advances in neural information processing systems 11 : proceedings of the 1998 conference (Denver, CO, USA, Nov. 30-Dec. 5, 1998)
pp. 875-881.
Cambridge, Massachusetts : MIT Press. 1998
Cantin, M.-A., Blaquière, Y., Savaria, Y., Granger, E. et Lavoie, P..
1998.
« Implementation of the fuzzy ART neural network for fast clustering of radar pulses ».
In Proceedings of the 1998 International Symposium on Circuits and Systems (ISCAS'98) (Monterey, CA, USA, May 31-June 3, 1998)
pp. 458-461.
IEEE. Cantin, M.-A., Savaria, Y., Blaquière, Y., Lavoie, P., Granger, E., Poiré, P. et et al.. 1998. « Implementations of the fuzzy ART neural networks on three different platforms for fast clustering of radar pulses ». Affiche présentée lors de la conférence : TEXPO, Symposium on Microelectronics Research & Development in Canada).
Granger, Eric, Savaria, Yvon, Lavoie, Pierre et Cantin, Marc-André.
1998.
« A comparison of self-organizing neural networks for fast clustering of radar pulses ».
Signal Processing, vol. 64, nº 3.
pp. 249-269. 1997
Granger, E., Savaria, Y., Blaquière, Y., Cantin, M.-A. et Lavoie, P..
1997.
« A VLSI architecture for fast clustering with the fuzzy ART neural network ».
Journal of Microelectronic Systems Integration, vol. 5, nº 1.
pp. 3-18. 1996
Granger, E., Blaquière, Y., Savaria, Y., Cantin, M.-A. et Lavoie, P..
1996.
« A VLSI architecture for fast clustering with the fuzzy ART neural networks ».
In Proceedings of the International Workshop on Neural Networks for Identification, Control, Robotics and Signal/Image Processing (NICROSP'96) (Venice, Italy, Aug. 21-23, 1996)
pp. 117-125.
IEEE. |
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