Staneva, Valentina. "Case Study 30: Developing and Testing Stochastic Filtering Methods for Tracking Objects in Videos".
The Practice of Reproducible Research: Case Studies and Lessons from the Data-Intensive Sciences, edited by Justin Kitzes, Berkeley: University of California Press, 2017, pp. 317-322.
https://doi.org/10.1525/9780520967779-039Staneva, V. (2017). Case Study 30: Developing and Testing Stochastic Filtering Methods for Tracking Objects in Videos. In J. Kitzes (Ed.),
The Practice of Reproducible Research: Case Studies and Lessons from the Data-Intensive Sciences (pp. 317-322). Berkeley: University of California Press.
https://doi.org/10.1525/9780520967779-039Staneva, V. 2017. Case Study 30: Developing and Testing Stochastic Filtering Methods for Tracking Objects in Videos. In: Kitzes, J. ed.
The Practice of Reproducible Research: Case Studies and Lessons from the Data-Intensive Sciences. Berkeley: University of California Press, pp. 317-322.
https://doi.org/10.1525/9780520967779-039Staneva, Valentina. "Case Study 30: Developing and Testing Stochastic Filtering Methods for Tracking Objects in Videos" In
The Practice of Reproducible Research: Case Studies and Lessons from the Data-Intensive Sciences edited by Justin Kitzes, 317-322. Berkeley: University of California Press, 2017.
https://doi.org/10.1525/9780520967779-039Staneva V. Case Study 30: Developing and Testing Stochastic Filtering Methods for Tracking Objects in Videos. In: Kitzes J (ed.)
The Practice of Reproducible Research: Case Studies and Lessons from the Data-Intensive Sciences. Berkeley: University of California Press; 2017. p.317-322.
https://doi.org/10.1525/9780520967779-039Copied to clipboard
