| 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 | 7 | 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 |
| Latent hypernet: Exploring all Layers from Convolutional Neural Networks A Jordao, R Kloss, WR Schwartz arXiv preprint arXiv:1711.02652, 2017 | 1 | 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 | 1 | 2015 |
| 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, BrazilBestätigte E-Mail-Adresse bei dcc.ufmg.br
