130 citations · 385 across the 14 of their papers we have counts for
16 papers
Forensic Study of Paintings Through the Comparison of Fabrics
Juan José Murillo-Fuentes, Pablo M. Olmos, Laura Alba-Carcelén
The study of canvas fabrics in works of art is a crucial tool for authentication, attribution and conservation. Traditional methods are based on thread density map matching, which…
Boosting offline handwritten text recognition in historical documents with few labeled lines
José Carlos Aradillas, Juan José Murillo-Fuentes, Pablo M. Olmos
In this paper, we face the problem of offline handwritten text recognition (HTR) in historical documents when few labeled samples are available and some of them contain errors in t…
The Generalized Complex Kernel Least-Mean-Square Algorithm
Rafael Boloix-Tortosa, Juan José Murillo-Fuentes, Sotirios A. Tsaftaris
We propose a novel adaptive kernel based regression method for complex-valued signals: the generalized complex-valued kernel least-mean-square (gCKLMS). We borrow from the new resu…
Equalization with Expectation Propagation at Smoothing Level
Irene Santos, Juan José Murillo-Fuentes, Eva Arias-de-Reyna
In this paper we propose a smoothing turbo equalizer based on the expectation propagation (EP) algorithm with quite improved performance compared to the Kalman smoother, at similar…
Inference in Deep Gaussian Processes using Stochastic Gradient Hamiltonian Monte Carlo
Marton Havasi, José Miguel Hernández-Lobato, Juan José Murillo-Fuentes
Deep Gaussian Processes (DGPs) are hierarchical generalizations of Gaussian Processes that combine well calibrated uncertainty estimates with the high flexibility of multilayer mod…
Recursive Estimation of Dynamic RSS Fields Based on Crowdsourcing and Gaussian Processes
Irene Santos, Juan José Murillo-Fuentes, Petar M. Djurić
In this paper, we address the estimation of a time-varying spatial field of received signal strength (RSS) by relying on measurements from randomly placed and not very accurate sen…
Self and turbo iterations for MIMO receivers and large-scale systems
Irene Santos, Juan José Murillo-Fuentes
We investigate a turbo soft detector based on the expectation propagation (EP) algorithm for large-scale multiple-input multiple-output (MIMO) systems. Optimal detection in MIMO sy…
Turbo EP-based Equalization: a Filter-Type Implementation
Irene Santos, Juan José Murillo-Fuentes, Eva Arias-de-Reyna +1
This manuscript has been submitted to Transactions on Communications on September 7, 2017; revised on January 10, 2018 and March 27, 2018; and accepted on April 25, 2018 We propose…
On the Power Spectral Density Applied to the Analysis of Old Canvases
Francisco J. Simois, Juan J. Murillo-Fuentes
A routine task for art historians is painting diagnostics, such as dating or attribution. Signal processing of the X-ray image of a canvas provides useful information about its fab…
Complex-Valued Kernel Methods for Regression
Rafael Boloix-Tortosa, Juan José Murillo-Fuentes, Irene Santos Velázquez +1
Usually, complex-valued RKHS are presented as an straightforward application of the real-valued case. In this paper we prove that this procedure yields a limited solution for regre…
Complex-Valued Gaussian Processes for Regression
Rafael Boloix-Tortosa, Eva Arias-de-Reyna, F. Javier Payan-Somet +1
In this paper we propose a novel Bayesian solution for nonlinear regression in complex fields. Previous solutions for kernels methods usually assume a complexification approach, wh…
Proper Complex Gaussian Processes for Regression
Rafael Boloix-Tortosa, F. Javier Payán-Somet, Eva Arias-de-Reyna +1
Complex-valued signals are used in the modeling of many systems in engineering and science, hence being of fundamental interest. Often, random complex-valued signals are considered…
Gaussian Processes for Nonlinear Signal Processing
Fernando Pérez-Cruz, Steven Van Vaerenbergh, Juan José Murillo-Fuentes +2
Gaussian processes (GPs) are versatile tools that have been successfully employed to solve nonlinear estimation problems in machine learning, but that are rarely used in signal pro…
Tree-Structure Expectation Propagation for LDPC Decoding over the BEC
Pablo M. Olmos, Juan José Murillo-Fuentes, Fernando Pérez-Cruz
We present the tree-structure expectation propagation (Tree-EP) algorithm to decode low-density parity-check (LDPC) codes over discrete memoryless channels (DMCs). EP generalizes b…
Tree-structure Expectation Propagation for Decoding LDPC codes over Binary Erasure Channels
Pablo M. Olmos, Juan José Murillo-Fuentes
Expectation Propagation is a generalization to Belief Propagation (BP) in two ways. First, it can be used with any exponential family distribution over the cliques in the graph. Se…
Channel Decoding with a Bayesian Equalizer
Luis Salamanca, Juan José Murillo-Fuentes, Fernando Pérez-Cruz
Low-density parity-check (LPDC) decoders assume the channel estate information (CSI) is known and they have the true a posteriori probability (APP) for each transmitted bit. But in…