Representation Learning from Time Labelled Heterogeneous Data for Mobile Crowdsensing
Mobile crowdsensing is a new paradigm that can utilize pervasive smartphones to collect and analyze data to benefit users. However, sensory data gathered by smartphone usually involves different data types because of different granularity and multiple sensor sources. Besides, the data are also time...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Hindawi Limited
2016-01-01
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| Series: | Mobile Information Systems |
| Online Access: | http://dx.doi.org/10.1155/2016/2097243 |