Search Results for author: Javier Ruiz-Hidalgo

Found 6 papers, 1 papers with code

Channel-Wise Early Stopping without a Validation Set via NNK Polytope Interpolation

no code implementations27 Jul 2021 David Bonet, Antonio Ortega, Javier Ruiz-Hidalgo, Sarath Shekkizhar

Motivated by our observations, we use CW-DeepNNK to propose a novel early stopping criterion that (i) does not require a validation set, (ii) is based on a task performance metric, and (iii) allows stopping to be reached at different points for each channel.

FuCiTNet: Improving the generalization of deep learning networks by the fusion of learned class-inherent transformations

1 code implementation17 May 2020 Manuel Rey-Area, Emilio Guirado, Siham Tabik, Javier Ruiz-Hidalgo

It is widely known that very small datasets produce overfitting in Deep Neural Networks (DNNs), i. e., the network becomes highly biased to the data it has been trained on.

Data Augmentation General Classification +1

Hybrid Cosine Based Convolutional Neural Networks

no code implementations3 Apr 2019 Adrià Ciurana, Albert Mosella-Montoro, Javier Ruiz-Hidalgo

Convolutional neural networks (CNNs) have demonstrated their capability to solve different kind of problems in a very huge number of applications.

General Classification

PSyCo: Manifold Span Reduction for Super Resolution

no code implementations CVPR 2016 Eduardo Perez-Pellitero, Jordi Salvador, Javier Ruiz-Hidalgo, Bodo Rosenhahn

The main challenge in Super Resolution (SR) is to discover the mapping between the low- and high-resolution manifolds of image patches, a complex ill-posed problem which has recently been addressed through piecewise linear regression with promising results.

Super-Resolution

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