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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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書(shū)目名稱Computer Analysis of Images and Patterns
副標(biāo)題20th International C
編輯Nicolas Tsapatsoulis,Andreas Lanitis,Andreas Panay
視頻videohttp://file.papertrans.cn/234/233442/233442.mp4
叢書(shū)名稱Lecture Notes in Computer Science
圖書(shū)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
關(guān)鍵詞artificial intelligence; image matching; image reconstruction; face recognition; neural networks
版次1
doihttps://doi.org/10.1007/978-3-031-44240-7
isbn_softcover978-3-031-44239-1
isbn_ebook978-3-031-44240-7Series 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
The information of publication is updating

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Fall Detection with?Event-Based Data: A Case Studyrom a camera attached to the neck (N-data) and the other one attached to the waist (W-data). Each data set contains 469 video samples, of which 213 are four types of fall examples, and the rest are nine types of non-fall daily activities. Compared to the CNN, which operates on the high-resolution RG
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Empirical Study of?Attention-Based Models for?Automatic Classification of?Gastrointestinal Endoscopy by previous models, needing fewer parameters. In addition, a new state of the art on Hyper-Kvasir (i.e., 0.636 F1-Macro) is obtained by the fusion of two MobileViT models with only 20M parameters. The source code will be published here: ..
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A Systematic Approach for Automated Lecture Style Evaluation Using Biometric Features
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