5 papers
Stage-Wise Neural Architecture Search
Artur Jordao, Fernando Akio, Maiko Lie +1
Modern convolutional networks such as ResNet and NASNet have achieved state-of-the-art results in many computer vision applications. These architectures consist of stages, which ar…
Covariance-free Partial Least Squares: An Incremental Dimensionality Reduction Method
Artur Jordao, Maiko Lie, Victor Hugo Cunha de Melo +1
Dimensionality reduction plays an important role in computer vision problems since it reduces computational cost and is often capable of yielding more discriminative data represent…
Pruning Deep Neural Networks using Partial Least Squares
Artur Jordao, Ricardo Kloss, Fernando Yamada +1
Modern pattern recognition methods are based on convolutional networks since they are able to learn complex patterns that benefit the classification. However, convolutional network…
A Content-Based Late Fusion Approach Applied to Pedestrian Detection
Jessica Sena, Artur Jordao, William Robson Schwartz
The variety of pedestrians detectors proposed in recent years has encouraged some works to fuse pedestrian detectors to achieve a more accurate detection. The intuition behind is t…
Human Activity Recognition Based on Wearable Sensor Data: A Standardization of the State-of-the-Art
Artur Jordao, Antonio C. Nazare, Jessica Sena +1
Human activity recognition based on wearable sensor data has been an attractive research topic due to its application in areas such as healthcare and smart environments. In this co…