Valero Laparra

IEEE Trans. Pattern Anal. Mach. Intell., February, 2025

2024

Learning About Student Performance From Moodle Logs in a Higher Education Context With Gaussian Processes.

[BibT_eX]

[DOI]

Adrián Pérez-Suay

Steven Van Vaerenbergh

Ana Belen Pascual Venteo

Rev. Iberoam. de Tecnol. del Aprendiz., 2024

RAID-Database: human Responses to Affine Image Distortions.

[BibT_eX]

[DOI]

Paula Daudén-Oliver

David Agost-Beltran

Emilio Sansano-Sansano

Marina Martínez-Garcia

CoRR, 2024

Parametric Enhancement of PerceptNet: A Human-Inspired Approach for Image Quality Assessment.

[BibT_eX]

[DOI]

Jorge Vila-Tomás

CoRR, 2024

The Effect of Perceptual Metrics on Music Representation Learning for Genre Classification.

[BibT_eX]

[DOI]

Tashi Namgyal

CoRR, 2024

Invariance of deep image quality metrics to affine transformations.

[BibT_eX]

[DOI]

CoRR, 2024

Image Segmentation via Divisive Normalization: dealing with environmental diversity.

[BibT_eX]

[DOI]

CoRR, 2024

2023

A Scalable Reduced-Complexity Compression of Hyperspectral Remote Sensing Images Using Deep Learning.

[BibT_eX]

[DOI]

Sebastià Mijares i Verdú

Miguel Hernández-Cabronero

Joan Bartrina-Rapesta

Joan Serra-Sagristà

Remote. Sens., September, 2023

Neural networks with divisive normalization for image segmentation.

[BibT_eX]

[DOI]

Jorge Vila-Tomás

Miguel-Ángel Fernández-Torres

Pattern Recognit. Lett., September, 2023

Assessing the Impact of Using Short Videos for Teaching at Higher Education: Empirical Evidence From Log-Files in a Learning Management System.

[BibT_eX]

[DOI]

Roberto Fernandez-Moran

José E. Adsuara

Rev. Iberoam. de Tecnol. del Aprendiz., August, 2023

Inference over radiative transfer models using variational and expectation maximization methods.

[BibT_eX]

[DOI]

Daniel Heestermans Svendsen

Daniel Hernández-Lobato

Álvaro Moreno-Martínez

Mach. Learn., March, 2023

Data is Overrated: Perceptual Metrics Can Lead Learning in the Absence of Training Data.

[BibT_eX]

[DOI]

Tashi Namgyal

CoRR, 2023

What You Hear Is What You See: Audio Quality Metrics From Image Quality Metrics.

[BibT_eX]

[DOI]

Tashi Namgyal

CoRR, 2023

Disentangling the Link Between Image Statistics and Human Perception.

[BibT_eX]

[DOI]

CoRR, 2023

Analysis of Deep Image Quality Models.

[BibT_eX]

[DOI]

Jorge Vila-Tomás

José Antonio Padrón-Hidalgo

CoRR, 2023

2022

Unsupervised Anomaly and Change Detection With Multivariate Gaussianization.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2022

Retrieval of Physical Parameters With Deep Structured Kernel Regression.

[BibT_eX]

[DOI]

Jordi Muñoz-Marí

IEEE Trans. Geosci. Remote. Sens., 2022

Neural Networks with Divisive normalization for image segmentation with application in cityscapes dataset.

[BibT_eX]

[DOI]

CoRR, 2022

On the relation between statistical learning and perceptual distances.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Orthonormal Convolutions for the Rotation Based Iterative Gaussianization.

[BibT_eX]

[DOI]

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Synthetic Generation of Cardiac MR Images Combining Convolutional Variational Autoencoders and Style Transfer.

[BibT_eX]

[DOI]

José Manuel Jaén-Lorites

Manuel Pérez-Pelegrí

María Pilar López-Lereu

José Vicente Monmeneu

Alicia M. Maceira

David Moratal

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

Hyperspectral remote sensing data compression with neural networks.

[BibT_eX]

[DOI]

Sebastià Mijares i Verdú

Miguel Hernández-Cabronero

Joan Bartrina-Rapesta

Joan Serra-Sagristà

Proceedings of the Data Compression Conference, 2022

2021

Cross-Sensor Adversarial Domain Adaptation of Landsat-8 and Proba-V Images for Cloud Detection.

[BibT_eX]

[DOI]

Gonzalo Mateo-García

Dan López-Puigdollers

José Antonio Padrón-Hidalgo

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

2020

Efficient Kernel Cook's Distance for Remote Sensing Anomalous Change Detection.

[BibT_eX]

[DOI]

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020

Accounting for Input Noise in Gaussian Process Parameter Retrieval.

[BibT_eX]

[DOI]

IEEE Geosci. Remote. Sens. Lett., 2020

Randomized kernels for large scale Earth observation applications.

[BibT_eX]

[DOI]

CoRR, 2020

Information Theory in Density Destructors.

[BibT_eX]

[DOI]

CoRR, 2020

Information Theory Measures via Multidimensional Gaussianization.

[BibT_eX]

[DOI]

CoRR, 2020

Kernel Methods and their derivatives: Concept and perspectives for the Earth system sciences.

[BibT_eX]

[DOI]

CoRR, 2020

Enforcing perceptual consistency on Generative Adversarial Networks by using the Normalised Laplacian Pyramid Distance.

[BibT_eX]

[DOI]

Ryan McConville

Proceedings of the 2020 Northern Lights Deep Learning Workshop, 2020

Perceptnet: A Human Visual System Inspired Neural Network For Estimating Perceptual Distance.

[BibT_eX]

[DOI]

José Antonio Padrón-Hidalgo

Proceedings of the IEEE International Conference on Image Processing, 2020

2019

Kernel Anomalous Change Detection for Remote Sensing Imagery.

[BibT_eX]

[DOI]

Nathan Longbotham

IEEE Trans. Geosci. Remote. Sens., 2019

Improved Statistically Based Retrievals via Spatial-Spectral Data Compression for IASI Data.

[BibT_eX]

[DOI]

Joaquin Garcia-Sobrino

IEEE Trans. Geosci. Remote. Sens., 2019

Domain Adaptation of Landsat-8 and Proba-V Data Using Generative Adversarial Networks for Cloud Detection.

[BibT_eX]

[DOI]

Gonzalo Mateo-García

Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

2018

Physics-aware Gaussian processes in remote sensing.

[BibT_eX]

[DOI]

Daniel H. Svendsen

Jordi Muñoz-Marí

Francisco Javier García-Haro

David Luengo

Appl. Soft Comput., 2018

Optimizing Kernel Ridge Regression for Remote Sensing Problems.

[BibT_eX]

[DOI]

Gonzalo Mateo-Garcia

Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Transfer Learning with Convolutional Networks for Atmospheric Parameter Retrieval.

[BibT_eX]

[DOI]

David Malmgren-Hansen

Allan Aasbjerg Nielsen

Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Disentangling Derivatives, Uncertainty and Error in Gaussian Process Models.

[BibT_eX]

[DOI]

Francisco Javier García-Haro

Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Generation of Global Vegetation Products from Eumetsat AVHRR/METOP Satellites.

[BibT_eX]

[DOI]

Emma Izquierdo-Verdiguier

Beatriz Martínez

Sergio Sanchez-Ruiz

María Amparo Gilabert

Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Consistent Regression of Biophysical Parameters with Kernel Methods.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

2017

Optimized Kernel Entropy Components.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2017

Statistical Atmospheric Parameter Retrieval Largely Benefits From Spatial-Spectral Image Compression.

[BibT_eX]

[DOI]

Joaquin Garcia-Sobrino

IEEE Trans. Geosci. Remote. Sens., 2017

Perceptually Optimized Image Rendering.

[BibT_eX]

[DOI]

CoRR, 2017

Physics-Aware Gaussian Processes for Earth Observation.

[BibT_eX]

[DOI]

David Luengo

Proceedings of the Image Analysis - 20th Scandinavian Conference, 2017

Fair Kernel Learning.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

Eigen-Distortions of Hierarchical Representations.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Spatial noise-aware temperature retrieval from infrared sounder data.

[BibT_eX]

[DOI]

David Malmgren-Hansen

Allan Aasbjerg Nielsen

Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

Nonlinear statistical retrieval of surface emissivity from IASI data.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

End-to-end Optimized Image Compression.

[BibT_eX]

[DOI]

Eero P. Simoncelli

Proceedings of the 5th International Conference on Learning Representations, 2017

Probabilistic cross-validation estimators for Gaussian process regression.

[BibT_eX]

[DOI]

Proceedings of the 25th European Signal Processing Conference, 2017

2016

Regression Wavelet Analysis for Lossless Coding of Remote-Sensing Data.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2016

Sequential Principal Curves Analysis.

[BibT_eX]

[DOI]

CoRR, 2016

Image Denoising with Kernels based on Natural Image Relations.

[BibT_eX]

[DOI]

CoRR, 2016

Density Modeling of Images using a Generalized Normalization Transformation.

[BibT_eX]

[DOI]

Eero P. Simoncelli

Proceedings of the 4th International Conference on Learning Representations, 2016

End-to-end optimization of nonlinear transform codes for perceptual quality.

[BibT_eX]

[DOI]

Eero P. Simoncelli

Proceedings of the 2016 Picture Coding Symposium, 2016

Perceptual image quality assessment using a normalized Laplacian pyramid.

[BibT_eX]

[DOI]

Proceedings of the Human Vision and Electronic Imaging, 2016

2015

Dimensionality Reduction via Regression in Hyperspectral Imagery.

[BibT_eX]

[DOI]

IEEE J. Sel. Top. Signal Process., 2015

Learning Structures in Earth Observation Data with Gaussian Processes.

[BibT_eX]

[DOI]

Proceedings of the Advanced Analysis and Learning on Temporal Data, 2015

Spatial/spectral information trade-off in hyperspectral images.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

Large-scale random features for kernel regression.

[BibT_eX]

[DOI]

Diego Marcos Gonzalez

Devis Tuia

Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

2014

Principal Polynomial Analysis.

[BibT_eX]

[DOI]

Int. J. Neural Syst., 2014

Dimensionality reduction via regression on hyperspectral infrared sounding data.

[BibT_eX]

[DOI]

Emma Izquierdo-Verdiguier

Proceedings of the 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2014

Lossless coding of hyperspectral images with principal polynomial analysis.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

2013

Encoding Invariances in Remote Sensing Image Classification With SVM.

[BibT_eX]

[DOI]

IEEE Geosci. Remote. Sens. Lett., 2013

Kernel Structural SIMIlarity on hyperspectral images.

[BibT_eX]

[DOI]

Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013

Chromatic induction and contrast masking: similar models, different goals?

[BibT_eX]

[DOI]

Proceedings of the Human Vision and Electronic Imaging XVIII, 2013

Visual discrimination and adaptation using non-linear unsupervised learning.

[BibT_eX]

[DOI]

Sandra Jiménez

Emma Izquierdo-Verdiguier

Proceedings of the Human Vision and Electronic Imaging XVIII, 2013

2012

Nonlinearities and Adaptation of Color Vision from Sequential Principal Curves Analysis.

[BibT_eX]

[DOI]

Neural Comput., 2012

Nonlinear data description with Principal Polynomial Analysis.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2012

Including invariances in SVM remote sensing image classification.

[BibT_eX]

[DOI]

Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012

2011

Iterative Gaussianization: From ICA to Random Rotations.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks, 2011

Principal polynomial analysis for remote sensing data processing.

[BibT_eX]

[DOI]

Proceedings of the 2011 IEEE International Geoscience and Remote Sensing Symposium, 2011

Kernel-based retrieval of atmospheric profiles from IASI data.

[BibT_eX]

[DOI]

Proceedings of the 2011 IEEE International Geoscience and Remote Sensing Symposium, 2011

Complex-Valued Independent Component Analysis of Natural Images.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2011, 2011

2010

Psychophysically Tuned Divisive Normalization Approximately Factorizes the PDF of Natural Images.

[BibT_eX]

[DOI]

Neural Comput., 2010

Image Denoising with Kernels Based on Natural Image Relations.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2010

Estimating biophysical variable dependences with kernels.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2010

2009

Visual Cortex Performs a Sort of Non-linear ICA.

[BibT_eX]

[DOI]

Proceedings of the Advances in Nonlinear Speech Processing, 2009

PCA Gaussianization for image processing.

[BibT_eX]

[DOI]