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Titlebook: Image and Graphics; 11th International C Yuxin Peng,Shi-Min Hu,Kun Xu Conference proceedings 2021 Springer Nature Switzerland AG 2021 artif

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發(fā)表于 2025-3-21 17:04:07 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Image and Graphics
副標(biāo)題11th International C
編輯Yuxin Peng,Shi-Min Hu,Kun Xu
視頻videohttp://file.papertrans.cn/462/461488/461488.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Image and Graphics; 11th International C Yuxin Peng,Shi-Min Hu,Kun Xu Conference proceedings 2021 Springer Nature Switzerland AG 2021 artif
描述.This three-volume set LNCS 12888, 12898, and 12890 constitutes the refereed conference proceedings of the 11.th. International Conference on Image and Graphics, ICIG 2021, held in Haikou, China, in August 2021.* ..The 198 full papers presented were selected from 421 submissions and focus on advances of theory, techniques and algorithms as well as innovative technologies of image, video and graphics processing and fostering innovation, entrepreneurship, and networking..*The conference was postponed due to the COVID-19 pandemic. .
出版日期Conference proceedings 2021
關(guān)鍵詞artificial intelligence; computer networks; computer systems; computer vision; deep learning; image analy
版次1
doihttps://doi.org/10.1007/978-3-030-87358-5
isbn_softcover978-3-030-87357-8
isbn_ebook978-3-030-87358-5Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer Nature Switzerland AG 2021
The information of publication is updating

書目名稱Image and Graphics影響因子(影響力)




書目名稱Image and Graphics影響因子(影響力)學(xué)科排名




書目名稱Image and Graphics網(wǎng)絡(luò)公開度




書目名稱Image and Graphics網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Image and Graphics被引頻次




書目名稱Image and Graphics被引頻次學(xué)科排名




書目名稱Image and Graphics年度引用




書目名稱Image and Graphics年度引用學(xué)科排名




書目名稱Image and Graphics讀者反饋




書目名稱Image and Graphics讀者反饋學(xué)科排名




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holars and students of law, politics, philosophy, international relations, human rights law, religion and culture. The book will provide these readers a vivid picture of China’s contributions to international h978-981-19-0582-7978-981-19-0580-3
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Brain Connectivity: Exploring from a High-Level Topological Perspectivehizophrenia patients showed decoupling on the default-mode network, dorsal attention network, executive control network, and salience network, as well as the over-coupling on the sensorimotor network, compared with healthy controls. Overall, network representation learning can more effectively captu
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UAV Track Planning Algorithm Based on Graph Attention Network and Deep Q Networkwith the original algorithm which is under the same flight conditions as the proposed algorithm, the velocity deviation rate of the proposed algorithm is improved by 46.79%, which can plan a high-quality track and has good engineering application value.
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Supervised Non-negative Matrix Factorization Induced by Huber Lossof HSNMF are derived using KKT conditions. The proposed HSNMF is shown to be convergent via the auxiliary function technique. Experimental results on face recognition demonstrate the robustness and superior performance of our algorithm when compared with the state-of-the-art algorithms.
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lications, and outdoor billboards and signs are proclaiming the merits of myriads of brands from all over the world. However, the digital age threatens to bring an abrupt end to this 40-year period of conventional marketing in China. China has leapfrogged into the mobile-driven digital age—and now m
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