Pereira-González, Luis Manuel; Salazar Afanador, Addisson; Vergara Domínguez, Luís(Institute of Electrical and Electronics Engineers, 2023)
[EN] In this article we carry out a comparison between early (feature) and late (score) multimodal fusion, for the two-class problem. The comparison is made first from a general perspective, and then from a specific ...
[EN] Automatic data fusion is an important field of machine learning that has been increasingly studied. The objective is to improve the classification performance from several individual classifiers in terms of accuracy ...
Zou, Dejian(Universitat Politècnica de València, 2024-04-09)
[ES] Este proyecto implementará varias técnicas de fusión tardía de datos aplicadas para mejorar el rendimiento de la clasificación multimodal automática. Se analizarán los repositorios de bases de datos disponibles ...
Giraud, Rémi; Ta, Vinh-Thong; Papadakis, Nicolas; Manjón Herrera, José Vicente; Collins, Louis; Coupé Pierrick; Alzheimers Dis Neuroimaging Initia(Elsevier, 2016-01-01)
Automatic segmentation methods are important tools for quantitative analysis of Magnetic Resonance Images (MRI). Recently, patch-based label fusion approaches have demonstrated state-of-the-art segmentation accuracy. In ...
Benedí Ruiz, José Miguel; Sánchez Peiró, Joan Andreu; Leiva, Luis A.; Sánchez Sáez, Ricardo; Maca, Mauricio(Springer, 2013)
Probabilistic parsing is a fundamental problem in Computational Linguistics, whose goal is obtaining a syntactic structure associated to a sentence according to a probabilistic grammatical model. Recently, an interactive ...
[EN] Decision fusion consists in the combination of the outputs of multiple classifiers into a common decision that is more precise or stable. In most cases, however, only classical fusion techniques are considered. This ...