Jun 16, 2020 · This work presents a shallow network based on subspaces with applications in image classification. Recently, shallow networks based on PCA ...
Abstract This work presents a shallow network based on subspaces with applications in image classification. Recently, shallow networks based on PCA filter ...
AbstractThis work presents a shallow network based on subspaces with applications in image classification. Recently, shallow networks based on PCA filter ...
A semi-supervised convolutional neural network based on subspace representation for image classification. B. Gatto, L. S. Souza, E. M. Santos, K. Fukui ...
A semi-supervised convolutional neural network based on subspace representation for image classification. BB Gatto, LS Souza, EM dos Santos, K Fukui, WS S.
<jats:title>Abstract</jats:title><jats:p>This work presents a shallow network based on subspaces with applications in image classification.
In this study, we proposed a Semi-Supervised Convolutional Neural Network Regression (SSCNNR) model framework for Raman model establishment based on data ...
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Dec 6, 2021 · This article departs from recent works and proposes a new semi-supervised learning network that constitutes a convolutional branch and a neighbour cluster ...
This article departs from recent works and proposes a new semi‐supervised learning network that constitutes a convolutional branch and a neighbour cluster ...
This paper presents a novel approach to train CNNs that generalize to heterogeneous datasets originating from various sources and without local annotations.
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