The single pixel GPS: learning big data signals from tiny coresets
We present algorithms for simplifying and clustering patterns from sensors such as GPS, LiDAR, and other devices that can produce high-dimensional signals. The algorithms are suitable for handling very large (e.g. terabytes) streaming data and can be run in parallel on networks or clouds. Applicatio...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Article |
| Language: | en_US |
| Published: |
Association for Computing Machinery (ACM)
2014
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| Online Access: | http://hdl.handle.net/1721.1/90590 https://orcid.org/0000-0001-5473-3566 https://orcid.org/0000-0002-8967-1841 |