Error Bounds for the Network Scale-Up Method

Autor: Díaz-Aranda, Sergio, Ramírez, Juan Marcos, Daga, Mohit, Champati, Jaya Prakash, Aguilar, José, Lillo, Rosa Elvira, Anta, Antonio Fernández

Epidemiologists and social scientists have used the Network Scale-Up Method (NSUM) for over thirty years to estimate the size of a hidden sub-population within a social network. This method involves querying a subset of network nodes about the number

Externí odkaz: http://arxiv.org/abs/2407.10640

Explainability analysis: An in-depth comparison between Fuzzy Cognitive Maps and LAMDA

Autor: Benito, Diego, Quintero, Carlos, Aguilar, Jose, Ramírez, Juan Marcos, Fernández-Anta, Antonio

Publikováno v: In Applied Soft Computing October 2024 164

LADMM-Net: An Unrolled Deep Network For Spectral Image Fusion From Compressive Data

Autor: Ramírez, Juan Marcos, Torre, José Ignacio Martínez, Fuentes, Henry Arguello

Publikováno v: Juan Marcos Ramirez, Jose Ignacio Martinez-Torre, and Henry Arguello, "LADMM-Net: An Unrolled Deep Network For Spectral Image Fusion From Compressive Data", Signal Processing, vol. 189, Dec 2021, 108239

Image fusion aims at estimating a high-resolution spectral image from a low-spatial-resolution hyperspectral image and a low-spectral-resolution multispectral image. In this regard, compressive spectral imaging (CSI) has emerged as an acquisition fra

Externí odkaz: http://arxiv.org/abs/2103.00940

Feature Fusion via Dual-resolution Compressive Measurement Matrix Analysis For Spectral Image Classification

Autor: Ramirez, Juan Marcos, Martinez-Torre, Jose Ignacio, Arguello, Henry

Publikováno v: Signal Processing: Image Communication Volume 90, January 2021, 116014

In the compressive spectral imaging (CSI) framework, different architectures have been proposed to recover high-resolution spectral images from compressive measurements. Since CSI architectures compactly capture the relevant information of the spectr

Externí odkaz: http://arxiv.org/abs/2009.06961

Compressive Spectral Video Sensing using the Convolutional Sparse Coding framework CSC4D

Autor: Barajas-Solano, Crisostomo, Ramirez, Juan-Marcos, Torre, José Ignacio Martínez, Arguello, Henry

Publikováno v: In Journal of Visual Communication and Image Representation April 2023 92