Academic Journal
Deep learning for compressive sensing
| العنوان: | Deep learning for compressive sensing |
|---|---|
| المؤلفون: | Machidon, Alina Luminita, Pejović, Veljko |
| المصدر: | Artificial intelligence review, vol. 56, no. 4, pp. 3619-3658, 2023. ; ISSN: 0269-2821 |
| بيانات النشر: | Springer Nature |
| سنة النشر: | 2024 |
| المجموعة: | University of Ljubljana: Repository (RUJ) / Repozitorij Univerze v Ljubljani |
| مصطلحات موضوعية: | neural networks, deep learning, compressive sensing, ubiquitous computing, nevronske mreže, globoko učenje, kompresijsko zaznavanje, vseprisotno računalništvo, info:eu-repo/classification/udc/004.8 |
| الوصف: | Compressive sensing (CS) is a mathematically elegant tool for reducing the sensor sampling rate, potentially bringing context-awareness to a wider range of devices. Nevertheless, practical issues with the sampling and reconstruction algorithms prevent further proliferation of CS in real world domains, especially among heterogeneous ubiquitous devices. Deep learning (DL) naturally complements CS for adapting the sampling matrix, reconstructing the signal, and learning from the compressed samples. While the CS–DL integration has received substantial research interest recently, it has not yet been thoroughly surveyed, nor has any light been shed on practical issues towards bringing the CS–DL to real world implementations in the ubiquitous computing domain. In this paper we identify main possible ways in which CS and DL can interplay, extract key ideas for making CS–DL efficient, outline major trends in the CS–DL research space, and derive guidelines for the future evolution of CS–DL within the ubiquitous computing domain. |
| نوع الوثيقة: | article in journal/newspaper |
| وصف الملف: | application/pdf; text/url |
| اللغة: | English |
| Relation: | info:eu-repo/grantAgreement/ARRS//N2-0136; info:eu-repo/grantAgreement/ARRS//J2-3047; info:eu-repo/grantAgreement/ARRS//P2-0098; info:eu-repo/grantAgreement/ARRS//P2-0426; https://repozitorij.uni-lj.si/IzpisGradiva.php?id=155349; https://repozitorij.uni-lj.si/Dokument.php?id=182191&dn=; https://repozitorij.uni-lj.si/Dokument.php?id=182190&dn=; https://plus.cobiss.net/cobiss/si/sl/bib/129878019; http://hdl.handle.net/20.500.12556/RUL-155349 |
| الاتاحة: | https://repozitorij.uni-lj.si/IzpisGradiva.php?id=155349 https://repozitorij.uni-lj.si/Dokument.php?id=182191&dn= https://repozitorij.uni-lj.si/Dokument.php?id=182190&dn= https://plus.cobiss.net/cobiss/si/sl/bib/129878019 https://hdl.handle.net/20.500.12556/RUL-155349 |
| Rights: | http://creativecommons.org/licenses/by/4.0/ ; info:eu-repo/semantics/openAccess |
| رقم الانضمام: | edsbas.14E3C841 |
| قاعدة البيانات: | BASE |
| الوصف غير متاح. |