William Robson Schwartz
Affiliations: | 2010 | Computer Science | University of Maryland, College Park, College Park, MD |
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"William Schwartz"Parents
Sign in to add mentor| Larry S. Davis | grad student | 2010 | University of Maryland | |
| (Looking at people using partial least squares.) | ||||
Children
Sign in to add trainee| Maiko Lie | grad student | 2018- | Federal University of Minas Gerais (UFMG) |
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Publications
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| Jordao A, Lie M, Schwartz WR. (2020) Discriminative Layer Pruning for Convolutional Neural Networks Ieee Journal of Selected Topics in Signal Processing. 14: 828-837 |
| Jordao A, Yamada F, Schwartz WR. (2020) Deep network compression based on partial least squares Neurocomputing. 406: 234-243 |
| Laroca R, Barroso V, Diniz MA, et al. (2019) Convolutional neural networks for automatic meter reading Journal of Electronic Imaging. 28: 1 |
| Nogueira K, Mura MD, Chanussot J, et al. (2019) Dynamic Multicontext Segmentation of Remote Sensing Images Based on Convolutional Networks Ieee Transactions On Geoscience and Remote Sensing. 57: 7503-7520 |
| Caetano C, de Melo VH, Brémond F, et al. (2019) Magnitude-Orientation Stream network and depth information applied to activity recognition Journal of Visual Communication and Image Representation. 63: 102596 |
| Prates R, Schwartz WR. (2019) Kernel cross-view collaborative representation based classification for person re-identification Journal of Visual Communication and Image Representation. 58: 304-315 |
| Prates R, Schwartz WR. (2018) Kernel multiblock partial least squares for a scalable and multicamera person reidentification system Journal of Electronic Imaging. 27: 1 |
| da Silva Luz EJ, Moreira GJP, Oliveira LS, et al. (2018) Learning Deep Off-the-Person Heart Biometrics Representations Ieee Transactions On Information Forensics and Security. 13: 1258-1270 |
| Schwartz WR, Davis LS. (2018) Preface of Special Issue on Data Representation and Representation Learning for Video Analysis Pattern Recognition Letters. 114: 1 |
| Jordao A, Torres LAB, Schwartz WR. (2018) Novel approaches to human activity recognition based on accelerometer data Signal, Image and Video Processing. 12: 1387-1394 |