mctc4bmi

Matrix and Tensor Completion for Background Model Initialization

https://github.com/andrewssobral/mctc4bmi

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Matrix and Tensor Completion for Background Model Initialization

Usage example
Please refer to main.m and demo.m files.

Citation
If you use this code for your publications, please cite it as:

@article{sobral_sbmi_prl_2016,
title = {Matrix and Tensor Completion Algorithms for Background Model Initialization: A Comparative Evaluation},
author = {Sobral, A. and Zahzah, E.},
journal = {Pattern Recognition Letters},
doi = {10.1016/j.patrec.2016.12.019},
issn = {01678655},
year = {2016}
}

Cite As

Sobral, Andrews, and El-hadi Zahzah. “Matrix and Tensor Completion Algorithms for Background Model Initialization: A Comparative Evaluation.” Pattern Recognition Letters, vol. 96, Elsevier BV, Sept. 2017, pp. 22–33, doi:10.1016/j.patrec.2016.12.019.

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General Information

MATLAB Release Compatibility

  • Compatible with any release

Platform Compatibility

  • Windows
  • macOS
  • Linux
Version Published Release Notes Action
0.1

To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.