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@inproceedings{Hara2014Tohme, title = {{Tohme: Detecting Curb Ramps in Google Street View Using Crowdsourcing, Computer Vision, and Machine Learning}}, author = {Hara, Kotaro and Sun, Jin and Moore, Robert and Jacobs, David and Froehlich, JonE.}, booktitle = {Proceedings of the 27th Annual ACM Symposium on User Interface Software and Technology}, year = {2014}, publisher = {{ACM}}, month = {Oct.}, doi = {10.1145/2642918.2647403}, }
Kotaro Hara, Jin Sun, Robert Moore, David Jacobs, and Jon E. Froehlich. 2014. Tohme: Detecting Curb Ramps in Google Street View Using Crowdsourcing, Computer Vision, and Machine Learning. Proceedings of the 27th Annual ACM Symposium on User Interface Software and Technology, pp. . DOI: https://doi.org/10.1145/2642918.2647403
Hara, Kotaro, Sun, Jin, Moore, Robert, Jacobs, David, and Froehlich, Jon. "Tohme: Detecting Curb Ramps in Google Street View Using Crowdsourcing, Computer Vision, and Machine Learning". Proceedings of the 27th Annual ACM Symposium on User Interface Software and Technology, pp. . 2014.
Hara, K., Sun, J., Moore, R., Jacobs, D., & Froehlich, J. _. (2014). Tohme: Detecting Curb Ramps in Google Street View Using Crowdsourcing, Computer Vision, and Machine Learning. Proceedings of the 27th Annual ACM Symposium on User Interface Software and Technology, pp. .
Hara, K., Sun, J., Moore, R., Jacobs, D., Froehlich, J.E., 2014. Tohme: Detecting Curb Ramps in Google Street View Using Crowdsourcing, Computer Vision, and Machine Learning.Proceedings of the 27th Annual ACM Symposium on User Interface Software and Technology, pp.
Hara K, Sun J, Moore R, Jacobs D, Froehlich J_. Tohme: Detecting Curb Ramps in Google Street View Using Crowdsourcing, Computer Vision, and Machine Learning.Proceedings of the 27th Annual ACM Symposium on User Interface Software and Technology2014 Oct; pp. .
Hara, Kotaro, Sun, Jin, Moore, Robert, Jacobs, David, and Froehlich, Jon "Tohme: Detecting Curb Ramps in Google Street View Using Crowdsourcing, Computer Vision, and Machine Learning". Proceedings of the 27th Annual ACM Symposium on User Interface Software and Technology, pp. . 2014.