| Parametric exponential linear unit for deep convolutional neural networks L Trottier, P Giguere, B Chaib-Draa 2017 16th IEEE international conference on machine learning and applications …, 2017 | 279 | 2017 |
| Sparse dictionary learning for identifying grasp locations L Trottier, P Giguere, B Chaib-Draa 2017 IEEE Winter Conference on Applications of Computer Vision (WACV), 871-879, 2017 | 14 | 2017 |
| Multi-task learning by deep collaboration and application in facial landmark detection L Trottier, P Giguere, B Chaib-draa arXiv preprint arXiv:1711.00111, 2017 | 11 | 2017 |
| Dictionary learning for robotic grasp recognition and detection L Trottier, P Giguère, B Chaib-draa arXiv preprint arXiv:1606.00538, 2016 | 8 | 2016 |
| Convolutional residual network for grasp localization L Trottier, P Giguere, B Chaib-Draa 2017 14th Conference on Computer and Robot Vision (CRV), 168-175, 2017 | 6 | 2017 |
| Deep object ranking for template matching JP Mercier, L Trottier, P Giguere, B Chaib-draa 2017 ieee winter conference on applications of computer vision (wacv), 734-742, 2017 | 6 | 2017 |
| Incrementally built dictionary learning for sparse representation L Trottier, B Chaib-draa, P Giguere Neural Information Processing: 22nd International Conference, ICONIP 2015 …, 2015 | 6 | 2015 |
| Feature selection for robust automatic speech recognition: a temporal offset approach L Trottier, P Giguère, B Chaib-Draa International Journal of Speech Technology 18, 395-404, 2015 | 4 | 2015 |
| Effects of frequency-based inter-frame dependencies on automatic speech recognition L Trottier, B Chaib-draa, P Giguere Advances in Artificial Intelligence: 27th Canadian Conference on Artificial …, 2014 | 2 | 2014 |
| Temporal feature selection for noisy speech recognition L Trottier, B Chaib-draa, P Giguere Canadian Conference on Artificial Intelligence, 155-166, 2015 | 1 | 2015 |
| The Indian chefs process P Dallaire, L Ambrogioni, L Trottier, U Güçlü, M Hinne, P Giguère, ... Conference on Uncertainty in Artificial Intelligence, 600-608, 2020 | | 2020 |
| Sparse, hierarchical and shared-factors priors for representation learning L Trottier | | 2019 |
| Bayesian Nonparametric Deep Learning P Dallaire, L Trottier, P Giguère, B Chaib-draa, F Laviolette | | |
Philippe GiguèreProfessor, Computer Science, Laval University, Norlab, DAMAS, CerVIM, REPARTI, CRDM, FORAC, IIDBestätigte E-Mail-Adresse bei ift.ulaval.ca
