03569nam a22005895i 4500001001800000003000900018005001700027007001500044008004100059020003700100024003500137050001100172050001400183072001700197072002300214072001600237245029000253250001800543264006900561300006600630336002600696337002600722338003600748347002400784490005900808505074300867520045001610650004002060650002902100650002102129650002602150650003202176650002602208650004202234650002902276650002102305650003902326650005102365700009302416700008702509700008602596710003402682773002602716776003602742776003602778830005902814856004602873912001402919912001502933912001402948999001702962978-3-031-49249-5DE-He21320251030110841.0cr nn 008mamaa231126s2024 sz | s |||| 0|eng d a97830314924959978-3-031-49249-57 a10.1007/978-3-031-49249-52doi 4aQ337.5 4aTK7882.P3 7aUYQP2bicssc 7aCOM0160002bisacsh 7aUYQP2thema10aProgress in Pattern Recognition, Image Analysis, Computer Vision, and Applicationsh[electronic resource] :b26th Iberoamerican Congress, CIARP 2023, Coimbra, Portugal, November 27–30, 2023, Proceedings, Part II /cedited by Verónica Vasconcelos, Inês Domingues, Simão Paredes. a1st ed. 2024. 1aCham :bSpringer Nature Switzerland :bImprint: Springer,c2024. aXVII, 135 p. 52 illus., 46 illus. in color.bonline resource. atextbtxt2rdacontent acomputerbc2rdamedia aonline resourcebcr2rdacarrier atext filebPDF2rda1 aLecture Notes in Computer Science,x1611-3349 ;v144700 aResearch 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. . aThis 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. 0aPattern recognition systems.965547 0aMachine learning.955059 0aComputer vision. 0aComputer engineering. 0aComputer networks .960157 0aApplication software.14aAutomated Pattern Recognition.96555124aMachine Learning.95505924aComputer Vision.24aComputer Engineering and Networks.24aComputer and Information Systems Applications.1 aVasconcelos, Verónica.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt9675781 aDomingues, Inês.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt9675791 aParedes, Simão.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt9675802 aSpringerLink (Online service)0 tSpringer Nature eBook08iPrinted edition:z978303149248808iPrinted edition:z9783031492501 0aLecture Notes in Computer Science,x1611-3349 ;v1447040uhttps://doi.org/10.1007/978-3-031-49249-5 aZDB-2-SCS aZDB-2-SXCS aZDB-2-LNC c56646d56646