| Latent hypernet: Exploring the layers of convolutional neural networks A Jordao, R Kloss, WR Schwartz 2018 International Joint Conference on Neural Networks (IJCNN), 1-7, 2018 | 9 | 2018 |
| Pruning deep neural networks using partial least squares A Jordao, R Kloss, F Yamada, WR Schwartz arXiv preprint arXiv:1810.07610, 2018 | 8 | 2018 |
| Face Verification: Strategies for Employing Deep Models R Kloss, A Jordão, WR Schwartz IEEE Conference on Automatic Face and Gesture Recognition 13, 2018 | 4 | 2018 |
| Boosted Projection: An Ensemble of Transformation Models R Kloss, A Jordão, W Schwartz 22nd CIARP 2017, 2017 | 4 | 2017 |
| Partial Least Squares Image Clustering RB Kloss, MVM Cirne, S Silva, H Pedrini, WR Schwartz 2015 28th SIBGRAPI Conference on Graphics, Patterns and Images, 41-48, 2015 | 2 | 2015 |
| Latent hypernet: Exploring all Layers from Convolutional Neural Networks A Jordao, R Kloss, WR Schwartz arXiv preprint arXiv:1711.02652, 2017 | 1 | 2017 |
| Boosted projections and low cost transfer learning applied to smart surveillance RB Kloss Universidade Federal de Minas Gerais, 2018 | | 2018 |
| Pruning Deep Networks using Partial Least Squares A Jordao, R Kloss, F Akio, WR Schwartz | | |
William Robson SchwartzAssociate Professor of Computer Science, Federal University of Minas Gerais, Brazil在 dcc.ufmg.br 的电子邮件经过验证
William Robson SchwartzAssociate Professor of Computer Science, Federal University of Minas Gerais, Brazil在 dcc.ufmg.br 的电子邮件经过验证
Artur JordaoUniversidade de São Paulo (USP)在 usp.br 的电子邮件经过验证