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Titlebook: Computer Analysis of Images and Patterns; 20th International C Nicolas Tsapatsoulis,Andreas Lanitis,Andreas Panay Conference proceedings 20

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书目名称Computer Analysis of Images and Patterns
副标题20th International C
编辑Nicolas Tsapatsoulis,Andreas Lanitis,Andreas Panay
视频video
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Computer Analysis of Images and Patterns; 20th International C Nicolas Tsapatsoulis,Andreas Lanitis,Andreas Panay Conference proceedings 20
描述This volume LNCS 14184 and 14185 constitutes the refereed proceedings of the 20th International Conference, CAIP 2023, in Limassol, Cyprus, in September 2023.  . The 54 full papers presented were carefully reviewed and selected from 67 submissions. They were organized in the following section as follows:.Part I-:PAR Contest 2023; Deep Learning; Machine Learning for Image and Pattern Analysis; and Object Recognition and Segmentation..Part II : Biometrics- Human Pose Estimation- Action Recognition; Biomedical Image and Pattern Analysis; and General Vision- AI Applications..
出版日期Conference proceedings 2023
关键词artificial intelligence; image matching; image reconstruction; face recognition; neural networks
版次1
doihttps://doi.org/10.1007/978-3-031-44237-7
isbn_softcover978-3-031-44236-0
isbn_ebook978-3-031-44237-7Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
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978-3-031-44236-0The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
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Robert E. Molzon,Bernard Shiffmanry and multi-class pedestrian attributes from images. This topic is recently attracting a great interest of various research groups due to the variety of applications in the field of forensics, digital signage, social robotics, people tracking and multi-camera person re-identification. Multi-task le
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https://doi.org/10.1007/BFb0078520tructures of the respiratory and cardiovascular system. These problems can be caused by a variety of conditions, such as respiratory infections, lung conditions, heart conditions, autoimmune diseases, or anxiety disorders, and can vary in symptoms and severity. In this paper, we introduce a supervis
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https://doi.org/10.1007/BFb0074534main. Over the years, various approaches have investigated them by considering detection and language identification as separate problem statements. To the best of our knowledge, scene text datasets with minority Indic languages are not yet available. To this end, we created a scene image dataset ca
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