A Bayesian framework for Multi-Frame Image Super-Resolution. Based on "Bayesian Image Super-Resolution" (ME Tipping and CM Bishop, NeurIPS 2003)
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Updated
May 18, 2021 - Jupyter Notebook
A Bayesian framework for Multi-Frame Image Super-Resolution. Based on "Bayesian Image Super-Resolution" (ME Tipping and CM Bishop, NeurIPS 2003)
A MAP-MRF Framework for Image Denoising
Research website
Verified the robustness to outliers of Huber Loss with Hinge loss for classification over different datasets.
MATLAB code for the Robust Huber-LRT ENF Detection (PCI 2023)
Regression Analysis using dataset from different Industries
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