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Human Activity Recognition Using Semi-supervised Multi-modal DEC for Instagram Data

Human Activity Recognition (HAR) using social media provides a solid basis for a variety of context-aware applications. Existing HAR approaches have adopted supervised machine learning algorithms using texts and their meta-data such as time, venue, and keywords. However, their recognition accuracy m...

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Detalles Bibliográficos
Autores principales: Kim, Dongmin, Han, Sumin, Son, Heesuk, Lee, Dongman
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7206193/
http://dx.doi.org/10.1007/978-3-030-47426-3_67

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