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[null,"1.","Record Nr.",null,"UNINA9910484781303321"]
[null,null,"Titolo",null,"Image Analysis and Recognition : 14th International Conference, ICIAR 2017, Montreal, QC, Canada, July 5–7, 2017, Proceedings / / edited by Fakhri Karray, Aurélio Campilho, Farida Cheriet"]
[null,null,"Pubbl/distr/stampa",null,"Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017"]
[null,null,"ISBN",null,"3-319-59876-7"]
[null,null,"Edizione",null,"[1st ed. 2017.]"]
[null,null,"Descrizione fisica",null,"1 online resource (XVII, 673 p. 293 illus.)"]
[null,null,"Collana",null,"Image Processing, Computer Vision, Pattern Recognition, and Graphics, , 3004-9954 ; ; 10317"]
[null,null,"Disciplina",null,"006.37"]
[null,null,"Soggetti",null,"Computer vision"]
[{"$nulls":4},"Computers and civilization"]
[{"$nulls":4},"Artificial intelligence"]
[{"$nulls":4},"Data mining"]
[{"$nulls":4},"Data protection"]
[{"$nulls":4},"Data structures (Computer science)"]
[{"$nulls":4},"Information theory"]
[{"$nulls":4},"Computer Vision"]
[{"$nulls":4},"Computers and Society"]
[{"$nulls":4},"Artificial Intelligence"]
[{"$nulls":4},"Data Mining and Knowledge Discovery"]
[{"$nulls":4},"Data and Information Security"]
[{"$nulls":4},"Data Structures and Information Theory"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Includes index."]
[null,null,"Nota di contenuto",null,"Machine learning in image recognition -- Machine learning for medical image computing -- Image enhancement and reconstruction -- Image segmentation -- Motion and tracking -- 3D computer vision -- Feature extraction -- Detection and classification -- Biomedical image analysis -- Image analysis in ophthalmology -- Remote sensing -- Applications."]
[null,null,null,"Sommario/riassunto","This book constitutes the thoroughly refereed proceedings of the 14th International Conference on Image Analysis and Recognition, ICIAR 2017, held in Montreal, QC, Canada, in July 2017. The 73 revised full papers presented were carefully reviewed and selected from 133 "]
[{"$nulls":4},"submissions. The papers are organized in the following topical sections: machine learning in image recognition; machine learning for medical image computing; image enhancement and reconstruction; image segmentation; motion and tracking; 3D computer vision; feature extraction; detection and classification; biomedical image analysis; image analysis in ophthalmology; remote sensing; applications."]