Deep Learning for Human Activity Recognition Deep Learning for Human Activity Recognition

Deep Learning for Human Activity Recognition

Second International Workshop, DL-HAR 2020, Held in Conjunction with IJCAI-PRICAI 2020, Kyoto, Japan, January 8, 2021, Proceedings

Xiaoli Li والمزيد
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وصف الناشر

This book constitutes refereed proceedings of the Second International Workshop on Deep Learning for Human Activity Recognition, DL-HAR 2020, held in conjunction with IJCAI-PRICAI 2020, in Kyoto, Japan, in January 2021. Due to the COVID-19 pandemic the workshop was postponed to the year 2021 and held in a virtual format. 
The 10 presented papers were thorougly reviewed and included in the volume. They present recent research on applications of human activity recognition for various areas such as healthcare services, smart home applications, and more. 

النوع
كمبيوتر وإنترنت
تاريخ النشر
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١٧ فبراير
اللغة
EN
الإنجليزية
عدد الصفحات
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الناشر
Springer Nature Singapore
البائع
Springer Nature B.V.
الحجم
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‫م.ب.‬
Computational Intelligence in Data Science Computational Intelligence in Data Science
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Neural Information Processing Neural Information Processing
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Multi-disciplinary Trends in Artificial Intelligence Multi-disciplinary Trends in Artificial Intelligence
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Pattern Recognition and Artificial Intelligence Pattern Recognition and Artificial Intelligence
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MultiMedia Modeling MultiMedia Modeling
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Image Analysis and Processing – ICIAP 2019 Image Analysis and Processing – ICIAP 2019
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TOWARDS HUMAN BRAIN INSPIRED LIFELONG LEARNING TOWARDS HUMAN BRAIN INSPIRED LIFELONG LEARNING
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DEEP LEARNING FOR 3D VISION: ALGORITHMS AND APPLICATIONS DEEP LEARNING FOR 3D VISION: ALGORITHMS AND APPLICATIONS
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Plant Chemical Compositions and Bioactivities Plant Chemical Compositions and Bioactivities
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GENERALIZATION WITH DEEP LEARNING GENERALIZATION WITH DEEP LEARNING
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Signal Processing in Neuroscience Signal Processing in Neuroscience
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Trends and Applications in Knowledge Discovery and Data Mining Trends and Applications in Knowledge Discovery and Data Mining
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