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Titlebook: Image Analysis and Processing – ICIAP 2019; 20th International C Elisa Ricci,Samuel Rota Bulò,Nicu Sebe Conference proceedings 2019 Springe

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書目名稱Image Analysis and Processing – ICIAP 2019
副標(biāo)題20th International C
編輯Elisa Ricci,Samuel Rota Bulò,Nicu Sebe
視頻videohttp://file.papertrans.cn/462/461369/461369.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Image Analysis and Processing – ICIAP 2019; 20th International C Elisa Ricci,Samuel Rota Bulò,Nicu Sebe Conference proceedings 2019 Springe
描述.The two-volume set LNCS 11751 and 11752 constitutes the refereed?proceedings of the 20th International Conference on Image Analysis and?Processing, ICIAP 2019, held in Trento, Italy, in September 2019..The 117 papers presented were carefully reviewed and selected from 207?submissions. The papers cover both classic and the most recent trends in image processing, computer vision, and pattern recognition, addressing both theoretical and applicative aspects. They are organized in the following topical?sections: Video Analysis and Understanding; Pattern Recognition and Machine Learning; Deep Learning; Multiview Geometry and 3D Computer Vision; Image Analysis, Detection and Recognition; Multimedia; Biomedical and Assistive Technology; Digital Forensics; Image processing for Cultural Heritage..
出版日期Conference proceedings 2019
關(guān)鍵詞artificial intelligence; classification; computer vision; data security; estimation; Human-Computer Inter
版次1
doihttps://doi.org/10.1007/978-3-030-30645-8
isbn_softcover978-3-030-30644-1
isbn_ebook978-3-030-30645-8Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer Nature Switzerland AG 2019
The information of publication is updating

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Tackling Partial Domain Adaptation with Self-supervisiontask for domain generalization: we describe how to reformulate this approach for partial domain adaptation and we show how it boosts existing adaptive solutions when combined with them. The obtained experimental results on three datasets supports the effectiveness of our approach.
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Hand Detection Using Zoomed Neural Networksand for the hand disambiguation, and we also train a Neural Network to focus on the hand over all the image and another Neural Network to focus on the bottom area of the image, increasing the resolution as the hands go out of image, which is a characteristic of the hands in the Egocentric Perspectiv
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health, education, water and employment (Bernal et al., 2004). These conditions also increase the risk of a child’s recruitment into an armed group (Achvarina and Reich, 2006). In fact, over 250,000 children are currently estimated to be active participants in the ranks of armed groups globally.
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d for Reconciliation and Democracy (LURD), the Taylor militia elements, the Government of Liberia (GoL) and the Movement for Democracy in Liberia (MODEL) to explore inter-group variance. The chapter concludes by de-coupling how individual and group level motivations relate in the Liberian context to
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R. Marani,A. Petitti,M. Attolico,G. Cicirelli,A. Milella,T. D’Oraziod for Reconciliation and Democracy (LURD), the Taylor militia elements, the Government of Liberia (GoL) and the Movement for Democracy in Liberia (MODEL) to explore inter-group variance. The chapter concludes by de-coupling how individual and group level motivations relate in the Liberian context to
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Sarra Zaied,Catherine Soladie,Pierre-Yves Richardse are far from the truth. They seem to revolve around a coercive recruitment and vulnerable axis, with most youth voices and lives embedded in ‘neglect’, as part of the vulnerable group, that is, women, disabled and children. This creates a problematic, often incomplete categorization/definition.
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