Choi, Hongjun, Wang, Qiao, Toledo, Meynard, Turaga, Pavan, Buman, Matthew, and Srivastava, Anuj. Temporal Alignment Improves Feature Quality: An Experiment on Activity Recognition with Accelerometer Data. Retrieved from https://par.nsf.gov/biblio/10157619. 4th International Workshop on Differential Geometry in Computer Vision and Machine Learning (DiffCVML) . Web. doi:10.1109/CVPRW.2018.00075.

Choi, Hongjun, Wang, Qiao, Toledo, Meynard, Turaga, Pavan, Buman, Matthew, & Srivastava, Anuj. Temporal Alignment Improves Feature Quality: An Experiment on Activity Recognition with Accelerometer Data. 4th International Workshop on Differential Geometry in Computer Vision and Machine Learning (DiffCVML), (). Retrieved from https://par.nsf.gov/biblio/10157619. https://doi.org/10.1109/CVPRW.2018.00075

Choi, Hongjun, Wang, Qiao, Toledo, Meynard, Turaga, Pavan, Buman, Matthew, and Srivastava, Anuj. "Temporal Alignment Improves Feature Quality: An Experiment on Activity Recognition with Accelerometer Data". 4th International Workshop on Differential Geometry in Computer Vision and Machine Learning (DiffCVML) (). Country unknown/Code not available. https://doi.org/10.1109/CVPRW.2018.00075. https://par.nsf.gov/biblio/10157619.

@article{osti_10157619,
place = {Country unknown/Code not available}, title = {Temporal Alignment Improves Feature Quality: An Experiment on Activity Recognition with Accelerometer Data}, url = {https://par.nsf.gov/biblio/10157619}, DOI = {10.1109/CVPRW.2018.00075}, abstractNote = {}, journal = {4th International Workshop on Differential Geometry in Computer Vision and Machine Learning (DiffCVML)}, author = {Choi, Hongjun and Wang, Qiao and Toledo, Meynard and Turaga, Pavan and Buman, Matthew and Srivastava, Anuj}, }