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Titlebook: Computer Analysis of Images and Patterns; 18th International C Mario Vento,Gennaro Percannella Conference proceedings 2019 Springer Nature

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書目名稱Computer Analysis of Images and Patterns
副標題18th International C
編輯Mario Vento,Gennaro Percannella
視頻videohttp://file.papertrans.cn/234/233439/233439.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Computer Analysis of Images and Patterns; 18th International C Mario Vento,Gennaro Percannella Conference proceedings 2019 Springer Nature
描述.The two volume set LNCS 11678 and 11679 constitutes the refereed proceedings of the 18th International Conference on Computer Analysis of Images and Patterns, CAIP 2019, held in Salerno, Italy, in September 2019...The 106 papers presented were carefully reviewed and selected from 176 submissions The papers are organized in the following topical sections: Intelligent Systems; Real-time and GPU Processing; Image Segmentation; Image and Texture Analysis; Machine Learning for Image and Pattern Analysis; Data Sets and Benchmarks; Structural and Computational Pattern Recognition; Posters..
出版日期Conference proceedings 2019
關(guān)鍵詞artificial intelligence; classification; computer vision; data security; estimation; face recognition; ima
版次1
doihttps://doi.org/10.1007/978-3-030-29891-3
isbn_softcover978-3-030-29890-6
isbn_ebook978-3-030-29891-3Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer Nature Switzerland AG 2019
The information of publication is updating

書目名稱Computer Analysis of Images and Patterns影響因子(影響力)




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書目名稱Computer Analysis of Images and Patterns網(wǎng)絡(luò)公開度學科排名




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書目名稱Computer Analysis of Images and Patterns被引頻次學科排名




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書目名稱Computer Analysis of Images and Patterns年度引用學科排名




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Non-contact Heart Rate Monitoring Using Multiple RGB Camerass (ICA) as a Blind Source Separation (BSS) method, we isolate the physiological signals from noise in the RGB facial video recordings. With respect to the ECG measurement ground truth, the proposed method decreases the RMSE by 18% compared to the state-of-the-art in the subject movement condition. T
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An Efficient Anaglyph 3D Video Watermarking Approach Based on Hybrid Insertionssed by the first level of the DWT, where the second signature is inserted in a low frequency. The inverse of a DWT is performed to obtain the final marked anaglyph frame. The proposed approach is evaluated based on invisibility and robustness criteria and shows a high level of invisibility and robu
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Fabric Classification and Matching Using CNN and Siamese Network for E-commerced an inexpensive (less than . frugal cellular microscope for the data collection in contrast to any expensive fabric texture scanners. We have utilized Convolutional Neural Networks based Autoencoders and Siamese network for classification, clustering, and matching of similar fabric textures. We hav
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