Computer Vision – ECCV 2020
https://doi.org/10.1007/978-3-030-58548-8
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https://doi.org/10.1007/978-3-030-58548-8
ysis 1995, pages 191--208. AddisonWesley Longman, 1996. [116] R. H. Zamar. Robust estimation in the errors-in-variables model. Biometrika, 76:149-- 160, 1989. [117] Z. Zhang. Determining the epipolar geometry and its uncertainty: A review. ...
https://doi.org/10.1007/978-3-662-04567-1
https://doi.org/10.1007/978-3-7091-6867-7
Powerful statistical models that can be learned efficiently from large amounts of data are currently revolutionizing computer vision. These models possess a rich internal structure reflecting task-specific relations and constraints. Structu...
https://doi.org/10.1561/9781601984579
Estimation techniques in computer vision applications must estimate accurate model parameters despite small-scale noise in the data, occasional large-scale measurement errors (outliers), and measurements from multiple populations in the sam...
https://doi.org/10.1137/s0036144598345802
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