@inproceedings{conf/cvpr/ChoiWTTBS18,
  added-at = {2020-06-15T00:00:00.000+0200},
  author = {Choi, Hongjun and Wang, Qiao and Toledo, Meynard John and Turaga, Pavan K. and Buman, Matthew P. and Srivastava, Anuj},
  biburl = {https://www.bibsonomy.org/bibtex/2eda0aa773e5b91b96933e1d5439521a7/dblp},
  booktitle = {CVPR Workshops},
  crossref = {conf/cvpr/2018w},
  ee = {http://doi.ieeecomputersociety.org/10.1109/CVPRW.2018.00075},
  interhash = {c245ce5c0d60b3638ce569c05988a7ee},
  intrahash = {eda0aa773e5b91b96933e1d5439521a7},
  keywords = {dblp},
  pages = {349-357},
  publisher = {IEEE Computer Society},
  timestamp = {2020-06-16T12:36:07.000+0200},
  title = {Temporal Alignment Improves Feature Quality: An Experiment on Activity Recognition With Accelerometer Data.},
  url = {http://dblp.uni-trier.de/db/conf/cvpr/cvprw2018.html#ChoiWTTBS18},
  year = 2018
}

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