Latent hypernet: Exploring the layers of convolutional neural networks

A Jordao, R Kloss, WR Schwartz - 2018 International Joint …, 2018 - ieeexplore.ieee.org
Since Convolutional Neural Networks (ConvNets) are able to simultaneously learn features
and classifiers to discriminate different categories of activities, recent works have employed …

Partial Least Squares: A Deep Space Odyssey

A Jordao, WR Schwartz - Conference on Graphics, Patterns and …, 2021 - sol.sbc.org.br
Modern visual pattern recognition models are based on deep convolutional networks. Such
models are computationally expensive, hindering applicability on resource-constrained …

Latent hypernet: Exploring all Layers from Convolutional Neural Networks

A Jordao, R Kloss, WR Schwartz - arXiv preprint arXiv:1711.02652, 2017 - arxiv.org
Since Convolutional Neural Networks (ConvNets) are able to simultaneously learn features
and classifiers to discriminate different categories of activities, recent works have employed …

Partial least squares: a deep space odyssey

AJL Correia - 2020 - repositorio.ufmg.br
Modelos modernos de reconhecimento de padrões visuais são predominantemente
baseados em redes convolucionais uma vez que elas têm levado a uma série de avanços …