120 citations · 353 across the 35 of their papers we have counts for
5 papers · 2 filters
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…
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…