CUR decomposition for compression and compressed sensing of large-scale traffic data

CUR decomposition for compression and compressed sensing of large-scale traffic data

Intelligent Transportation Systems (ITS) often operate on large road networks, and typically collect traffic data with high temporal resolution. Consequently, ITS need to handle massive volumes of data, and methods to represent that data in more compact representations are sorely needed. Subspace me...

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Bibliographic Details
Main Authors: Mitrovic, Nikola (Author), Asif, Muhammad Tayyab (Author), Rasheed, Umer (Author), Dauwels, Justin H. G. (Author), Jaillet, Patrick (Contributor)
Other Authors: Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor), Massachusetts Institute of Technology. Laboratory for Information and Decision Systems (Contributor)
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers (IEEE), 2014-05-08T18:59:55Z.
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