Artur Jordao
Title
Cited by
Cited by
Year
Human activity recognition based on wearable sensor data: A standardization of the state-of-the-art
A Jordao, AC Nazare Jr, J Sena, WR Schwartz
arXiv preprint arXiv:1806.05226, 2018
402018
Novel approaches to human activity recognition based on accelerometer data
A Jordao, LAB Torres, WR Schwartz
Signal, Image and Video Processing 12 (7), 1387-1394, 2018
312018
Oblique random forest based on partial least squares applied to pedestrian detection
AJL Correia, WR Schwartz
2016 IEEE International Conference on Image Processing (ICIP), 2931-2935, 2016
82016
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
52018
Pruning deep neural networks using partial least squares
A Jordao, R Kloss, F Yamada, WR Schwartz
arXiv preprint arXiv:1810.07610, 2018
42018
Face Verification: Strategies for Employing Deep Models
AJWS Ricardo Kloss
13th IEEE International Conference on Automatic Face & Gesture Recognition …, 2018
32018
Discriminative Layer Pruning for Convolutional Neural Networks
A Jordao, M Lie, WR Schwartz
IEEE Journal of Selected Topics in Signal Processing, 2020
22020
Boosted projection: An ensemble of transformation models
RB Kloss, A Jordao, WR Schwartz
Iberoamerican Congress on Pattern Recognition, 331-338, 2017
22017
A late fusion approach to combine multiple pedestrian detectors
A Jordao, JS de Souza, WR Schwartz
2016 23rd International Conference on Pattern Recognition (ICPR), 4250-4255, 2016
22016
The Good, The Fast and The Better Pedestrian Detector
A Jordao, WR Schwartz
Universidade Federal de Minas Gerais-Departamento de Ciência da Computação 1 …, 2016
12016
Depth-Wise Neural Architecture Search
A Jordao, F Akio, M Lie, WR Schwartz
arXiv preprint arXiv:2004.11178, 2020
2020
Deep Network Compression based on Partial Least Squares
A Jordao, F Yamada, WR Schwartz
Neurocomputing, 2020
2020
Covariance-free Partial Least Squares: An Incremental Dimensionality Reduction Method
A Jordao, M Lie, VHC de Melo, WR Schwartz
arXiv preprint arXiv:1910.02319, 2019
2019
A Content-Based Late Fusion Approach Applied to Pedestrian Detection
J Sena, A Jordao, WR Schwartz
arXiv preprint arXiv:1806.03361, 2018
2018
Human Activity Recognition based on Wearable Sensor Data: A Benchmark
A Jordao, AC Nazare, J Sena, WR Schwartz
A Study of Filtering Approaches for Sliding Window Pedestrian Detection
AJL Correia, VHC de Melo, WR Schwartz
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Articles 1–16