120 citations · 353 across the 35 of their papers we have counts for
7 papers · 1 filter
Derivatives and inverse of a linear-nonlinear multi-layer spatial vision model
Borja Galan, Marina Martinez-Garcia, Praveen Cyriac +3
Linear-nonlinear transforms are interesting in vision science because they are key in modeling a number of perceptual experiences such as color, motion or spatial texture. Here we…
Sequential Principal Curves Analysis
Valero Laparra, Jesus Malo
This work includes all the technical details of the Sequential Principal Curves Analysis (SPCA) in a single document. SPCA is an unsupervised nonlinear and invertible feature extra…
Nonlinearities and Adaptation of Color Vision from Sequential Principal Curves Analysis
Valero Laparra, Sandra Jiménez, Gustavo Camps-Valls +1
Mechanisms of human color vision are characterized by two phenomenological aspects: the system is nonlinear and adaptive to changing environments. Conventional attempts to derive t…
Iterative Gaussianization: from ICA to Random Rotations
Valero Laparra, Gustavo Camps-Valls, Jesús Malo
Most signal processing problems involve the challenging task of multidimensional probability density function (PDF) estimation. In this work, we propose a solution to this problem…
Principal Polynomial Analysis
Valero Laparra, Sandra Jiménez, Devis Tuia +2
This paper presents a new framework for manifold learning based on a sequence of principal polynomials that capture the possibly nonlinear nature of the data. The proposed Principa…
Image Denoising with Kernels based on Natural Image Relations
Valero Laparra, Juan Gutiérrez, Gustavo Camps-Valls +1
A successful class of image denoising methods is based on Bayesian approaches working in wavelet representations. However, analytical estimates can be obtained only for particular…
Dimensionality Reduction via Regression in Hyperspectral Imagery
Valero Laparra, Jesus Malo, Gustau Camps-Valls
This paper introduces a new unsupervised method for dimensionality reduction via regression (DRR). The algorithm belongs to the family of invertible transforms that generalize Prin…