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Titlebook: Advances in Computer Vision; Proceedings of the 2 Kohei Arai,Supriya Kapoor Conference proceedings 2020 Springer Nature Switzerland AG 2020

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發(fā)表于 2025-3-21 19:19:25 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱(chēng)Advances in Computer Vision
期刊簡(jiǎn)稱(chēng)Proceedings of the 2
影響因子2023Kohei Arai,Supriya Kapoor
視頻videohttp://file.papertrans.cn/148/147274/147274.mp4
發(fā)行地址Presents the latest research on computer vision.Gathers the proceedings of the Computer Vision Conference (CVC 2019), held in Las Vegas, USA from May 2 to 3, 2019.Written by respected experts in the f
學(xué)科分類(lèi)Advances in Intelligent Systems and Computing
圖書(shū)封面Titlebook: Advances in Computer Vision; Proceedings of the 2 Kohei Arai,Supriya Kapoor Conference proceedings 2020 Springer Nature Switzerland AG 2020
影響因子.This book presents a remarkable collection of chapters covering a wide range of topics in the areas of Computer Vision, both from theoretical and application perspectives. It gathers the proceedings of the Computer Vision Conference (CVC 2019), held in Las Vegas, USA from May 2 to 3, 2019. The conference attracted a total of 371 submissions from pioneering researchers, scientists, industrial engineers, and students all around the world. These submissions underwent a double-blind peer review process, after which 118 (including 7 poster papers) were selected for inclusion in these proceedings..The book’s goal is to reflect the intellectual breadth and depth of current research on computer vision, from classical to intelligent scope. Accordingly, its respective chapters address state-of-the-art intelligent methods and techniques for solving real-world problems, while also outlining future research directions. Topic areas covered include Machine Vision and Learning, Data Science,Image Processing, Deep Learning, and Computer Vision Applications..
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CIM Computer Integrated Manufacturingthe proper candidate to fulfill a work place in a company, an attractive method for choosing staff based on Multicriterio Decisions Making and Fuzzy Logic is proposed, in a mathematical model through the multicriterio technique known as TOPSIS.
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https://doi.org/10.1007/978-3-642-61510-8an interact witch each other) is of paramount importance. If we know precise position of virtual objects in the scene and precise position of the device in the scene, we can alleviate the burden of massive computing within HoloLens. As a result, we gain better experience from mixed reality.
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Conference proceedings 2020gly, its respective chapters address state-of-the-art intelligent methods and techniques for solving real-world problems, while also outlining future research directions. Topic areas covered include Machine Vision and Learning, Data Science,Image Processing, Deep Learning, and Computer Vision Applications..
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,Die Bedeutung des “I” bei CIM, learning algorithms are applied for performing multi-class classification of comparative user reviews into different classes. The results show that Random Forest outperforms amongst all other classifiers used in the research.
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CIM Computer Integrated Manufacturingamework allows fusion of pre-trained object detection networks and fuses sensor modalities at a single stage, resulting in a modular and traceable architecture. We show effectiveness of the proposed scheme by fusing camera and Lidar information to detect objects using our own as well as the KITTI dataset.
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