Search Results for author: Jesus Malo

Found 12 papers, 1 papers with code

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

no code implementations6 Dec 2023 Tashi Namgyal, Alexander Hepburn, Raul Santos-Rodriguez, Valero Laparra, Jesus Malo

Perceptual metrics are traditionally used to evaluate the quality of natural signals, such as images and audio.

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

no code implementations19 May 2023 Tashi Namgyal, Alexander Hepburn, Raul Santos-Rodriguez, Valero Laparra, Jesus Malo

In this study, we investigate the feasibility of utilizing state-of-the-art image perceptual metrics for evaluating audio signals by representing them as spectrograms.

Functional Connectome of the Human Brain with Total Correlation

no code implementations6 Oct 2022 Qiang Li, Greg Ver Steeg, Shujian Yu, Jesus Malo

In this work we build on this idea to infer a large scale (whole brain) connectivity network based on Total Correlation and show the possibility of using this kind of networks as biomarkers of brain alterations.

Functional Connectivity via Total Correlation: Analytical results in Visual Areas

no code implementations11 Aug 2022 Qiang Li, Greg Ver Steeg, Jesus Malo

As opposed to previous empirical approaches, in this work we present analytical results to prove the advantages of Total Correlation over Mutual Information to describe the functional connectivity.

Paraphrasing Magritte's Observation

no code implementations11 Feb 2022 Jesus Malo

Contrast Sensitivity of the human visual system can be explained from certain low-level vision tasks (like retinal noise and optical blur removal), but not from others (like chromatic adaptation or pure reconstruction after simple bottlenecks).

Contrast Sensitivity Functions in Autoencoders

no code implementations28 Feb 2021 Qiang Li, Alex Gomez-Villa, Marcelo Bertalmio, Jesus Malo

Three decades ago, Atick et al. suggested that human frequency sensitivity may emerge from the enhancement required for a more efficient analysis of retinal images.

Psychophysical Estimation of Early and Late Noise

no code implementations11 Dec 2020 Jose Juan Esteve-Taboada, Guillermo Aguilar, Marianne Maertens, Felix A. Wichmann, Jesus Malo

Moreover, it suggests that the use of external noise in the experiments may be helpful as an extra reference.

Information Theory Measures via Multidimensional Gaussianization

4 code implementations8 Oct 2020 Valero Laparra, J. Emmanuel Johnson, Gustau Camps-Valls, Raul Santos-Rodríguez, Jesus Malo

Information theory is an outstanding framework to measure uncertainty, dependence and relevance in data and systems.

Density Estimation

Information Flow in Biological Networks for Color Vision

no code implementations27 Dec 2019 Jesus Malo

In case this hypothesis holds in color vision, the question is, what is the coding gain due to the different layers of the color appearance networks?

Sequential Principal Curves Analysis

no code implementations2 Jun 2016 Valero Laparra, Jesus Malo

The identified curvilinear features can be interpreted as a set of nonlinear sensors: the response of each sensor is the projection onto the corresponding feature.

Dimensionality Reduction Philosophy

Dimensionality Reduction via Regression in Hyperspectral Imagery

no code implementations31 Jan 2016 Valero Laparra, Jesus Malo, Gustau Camps-Valls

DRR identifies the nonlinear features through multivariate regression to ensure the reduction in redundancy between he PCA coefficients, the reduction of the variance of the scores, and the reduction in the reconstruction error.

Dimensionality Reduction Land Cover Classification +1

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