34 citations · 54 across the 6 of their papers we have counts for
6 papers
Thread Counting in Plain Weave for Old Paintings Using Semi-Supervised Regression Deep Learning Models
A. D. Bejarano, Juan J. Murillo-Fuentes, Laura Alba-Carcelen
In this work, the authors develop regression approaches based on deep learning to perform thread density estimation for plain weave canvas analysis. Previous approaches were based…
Crossing Points Detection in Plain Weave for Old Paintings with Deep Learning
A. Delgado, L. Alba-Carcelén, J. J. Murillo-Fuentes
In the forensic studies of painting masterpieces, the analysis of the support is of major importance. For plain weave fabrics, the densities of vertical and horizontal threads are…
A double EP-based proposal for turbo equalization
Irene Santos, Juan José Murillo-Fuentes, Eva Arias-de-Reyna
This letter deals with the application of the expectation propagation (EP) algorithm to turbo equalization. The EP has been successfully applied to obtain either a better approxima…
Boosting Handwriting Text Recognition in Small Databases with Transfer Learning
José Carlos Aradillas, Juan José Murillo-Fuentes, Pablo M. Olmos
In this paper we deal with the offline handwriting text recognition (HTR) problem with reduced training datasets. Recent HTR solutions based on artificial neural networks exhibit r…
Deep Gaussian Processes with Decoupled Inducing Inputs
Marton Havasi, José Miguel Hernández-Lobato, Juan José Murillo-Fuentes
Deep Gaussian Processes (DGP) are hierarchical generalizations of Gaussian Processes (GP) that have proven to work effectively on a multiple supervised regression tasks. They combi…
Tree-Structure Expectation Propagation for LDPC Decoding in Erasure Channels
Pablo M. Olmos, Juan José Murillo-Fuentes, Fernando Pérez-Cruz
In this paper we present a new algorithm, denoted as TEP, to decode low-density parity-check (LDPC) codes over the Binary Erasure Channel (BEC). The TEP decoder is derived applying…