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Titlebook: Design and Architecture for Signal and Image Processing; 15th International W Karol Desnos,Sergio Pertuz Conference proceedings 2022 Spring

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書目名稱Design and Architecture for Signal and Image Processing
副標(biāo)題15th International W
編輯Karol Desnos,Sergio Pertuz
視頻videohttp://file.papertrans.cn/269/268525/268525.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Design and Architecture for Signal and Image Processing; 15th International W Karol Desnos,Sergio Pertuz Conference proceedings 2022 Spring
描述.This book constitutes the thoroughly refereed conference proceedings of the First International Workshop on Design and Architecture for Signal and Image Processing, DASIP 2022, held in Budaypest, Hungary in June 2022. ..The 13 full included in the volume were carefully reviewed and selected from 32 submissions. They are organized in the following topical sections: leading signal, image and video processing and machine learning in custom embedded, edge and cloud computing architectures and systems..
出版日期Conference proceedings 2022
關(guān)鍵詞artificial intelligence; bandwidth; communication systems; computer hardware; computer networks; computer
版次1
doihttps://doi.org/10.1007/978-3-031-12748-9
isbn_softcover978-3-031-12747-2
isbn_ebook978-3-031-12748-9Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer Nature Switzerland AG 2022
The information of publication is updating

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Exploring Fully Convolutional Networks for?the?Segmentation of?Hyperspectral Imaging Applied to?Advaal features codified by convolutional filters can be helpful to improve the performance of HSI segmentation systems. With that aim, we use the HSI-Drive v1.1 dataset, which provides a set of labelled images recorded in real driving conditions with a small-size snapshot NIR-HSI camera. Finally, we an
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étienne André,Didier Lime,Olivier H. Rouxal features codified by convolutional filters can be helpful to improve the performance of HSI segmentation systems. With that aim, we use the HSI-Drive v1.1 dataset, which provides a set of labelled images recorded in real driving conditions with a small-size snapshot NIR-HSI camera. Finally, we an
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Lecture Notes in Computer Scienceury. The exercise recognition process was implemented through the use of cognitive techniques based on deep learning. To reduce power consumption, we add an adaptivity layer that dynamically manages the device’s hardware and software configuration to adapt it to the required operating mode at runtim
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