26th Iberoamerican Congress, CIARP 2023, Coimbra, Portugal, November 27–30, 2023, Proceedings, Part II Vasconcelos, Verónica. editor. edt http://id.loc.gov/vocabulary/relators/edt Domingues, Inês. editor. edt http://id.loc.gov/vocabulary/relators/edt Paredes, Simão. editor. edt http://id.loc.gov/vocabulary/relators/edt SpringerLink (Online service) text sz 2024 1st ed. 2024. monographic eng

electronic

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access XVII, 135 p. 52 illus., 46 illus. in color. online resource. This 2-volume set, LNCS 14469 and 14470, constitutes the proceedings of the 26th Iberoamerican Congress on Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, CIARP 2023, which took place in Coimbra, Portugal, in November 2023. The 61 papers presented were carefully reviewed and selected from 106 submissions. And present research in the fields of pattern recognition, artificial intelligence, and related areas. Research in areas such as biometrics -- character recognition -- classification clustering ensembles -- multi-classifiers -- data mining and big data -- feature extraction, discretization and selection -- fuzzy logic and fuzzy image processing -- gesture recognition, hybrid methods -- image description and registration -- image enhancement, restoration and segmentation -- image understanding -- image fusion -- information theory -- intelligent systems -- machine vision -- neural network architectures -- object recognition -- pattern recognition applications -- sensors and sensor fusion -- soft computing techniques -- statistical methods -- syntactical methods -- deep learning -- ransfer learning -- natural language processing. . edited by Verónica Vasconcelos, Inês Domingues, Simão Paredes. Pattern recognition systems Machine learning Computer vision Computer engineering Computer networks  Application software Automated Pattern Recognition Machine Learning Computer Vision Computer Engineering and Networks Computer and Information Systems Applications Q337.5 TK7882.P3 9783031492495 https://doi.org/10.1007/978-3-031-49249-5 https://doi.org/10.1007/978-3-031-49249-5 231126 20251030110841.0 978-3-031-49249-5