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HiPEAC-High Performance and Embedded Architecture and Compilation
O'Boyle, Michael
(Principal Investigator)
School of Informatics
Computer Systems
Overview
Fingerprint
Research output
(1)
Project Details
Status
Finished
Effective start/end date
1/01/16
→
28/02/18
Funding
EU government bodies:
£253,334.00
View all
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Fingerprint
Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
Deep Neural Network
Computer Science
100%
Mobile Device
Computer Science
100%
Multimodal Deep Learning
Computer Science
100%
Deep Learning Method
Computer Science
100%
Sampling Rate
Computer Science
50%
Context Detection
Computer Science
50%
Neural Network Model
Computer Science
50%
Data Modelling
Computer Science
50%
Research output
Research output per year
2018
2018
2018
1
Article
Research output per year
Research output per year
Multimodal Deep Learning for Activity and Context Recognition
Radu, V., Tong, C., Bhattacharya, S., Lane, N., Mascolo, C.,
Marina, M. K.
& Kawsar, F.,
8 Jan 2018
,
In:
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies.
1
,
4
,
p. 157:1-157:27
27 p.
, 157.
Research output
:
Contribution to journal
›
Article
›
peer-review
Open Access
File
Mobile Device
100%
Deep Neural Network
100%
Deep Learning Method
100%
Multimodal Deep Learning
100%
Sampling Rate
50%