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Titlebook: Computer Analysis of Images and Patterns; 19th International C Nicolas Tsapatsoulis,Andreas Panayides,Mario Vento Conference proceedings 20

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書目名稱Computer Analysis of Images and Patterns
副標(biāo)題19th International C
編輯Nicolas Tsapatsoulis,Andreas Panayides,Mario Vento
視頻videohttp://file.papertrans.cn/234/233451/233451.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Computer Analysis of Images and Patterns; 19th International C Nicolas Tsapatsoulis,Andreas Panayides,Mario Vento Conference proceedings 20
描述.The two volume set LNCS 13052 and 13053 constitutes the refereed proceedings of the 19th International Conference on Computer Analysis of Images and Patterns, CAIP 2021, held virtually, in September 2021...?..The 87 papers presented were carefully reviewed and selected from 129 submissions. The papers are organized in the following topical sections across the 2 volumes: 3D vision, biomedical image and pattern analysis; machine learning; feature extractions; object recognition; face and gesture, guess the age contest, biometrics, cryptography and security; and segmentation and image restoration..
出版日期Conference proceedings 2021
關(guān)鍵詞artificial intelligence; computer systems; computer vision; deep learning; digital image; engineering; ima
版次1
doihttps://doi.org/10.1007/978-3-030-89128-2
isbn_softcover978-3-030-89127-5
isbn_ebook978-3-030-89128-2Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer Nature Switzerland AG 2021
The information of publication is updating

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The Origins of Critical Systems Thinkingogical properties can be guaranteed during runtime. Subsequently, an explicit formulation of the optimal sub-pixel position within each quad is derived, using bilinear interpolation, and the permanent existence of a valid solution is proven. In this way, an easy-to-use procedure arises that matches
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The Interpretive Systems Approach deployment in real-world scenarios. We then deploy our models on a LoCoBot, a Low-Cost Robot equipped with a single Intel RealSense camera. Different from previous work, our testing scene is unavailable to the agent in simulation. The environment is also inaccessible to the agent beforehand, so it
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The Functionalist Systems Approachnt Bit (LSB) substitution to all the frames of both the 2D video and the depth map components in order to ensure simultaneously and independently the protection of these two parts. In the second step, we apply the tracing process whose target is the identification of eventual colluders by extracting
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Helical Fusion Reactor Conceptstegy to learn a conditional generative adversarial model. The network synthesizes high-quality fundus images used along with the real images to learn a convolutional neural network-based segmentation model. Experimental evaluation shows that the proposed synthetic generation method improves segmenta
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