code of Towards Discriminability and Diversity: Batch Nuclear-norm Maximization under Label Insufficient Situations (CVPR2020 oral)
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Oct 3, 2023 - Python
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nuclear-norm
Here are 9 public repositories matching this topic...
Accelerated Proximal Gradient (APG) algorithm implementation for Nuclear Norm regularized linear Least Squares problem (NNLS).
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May 14, 2023 - MATLAB
Blind Image Deconvolution and Frank-Wolfe's algorithm to deblur a license plate for Crime Scene Investigation (CSI)
python data-science machine-learning anaconda jupyter-notebook constrained-optimization scipy matplotlib csi singular-value-decomposition frank-wolfe lmo proximal-gradient-descent nuclear-norm blind-image-deconvolution
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Sep 25, 2022 - Jupyter Notebook
Matrix Completion applied to the Netflix problem and image inpainting / recovery
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Jul 24, 2020 - Jupyter Notebook
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Dec 29, 2019 - Python
Adversarial Network Embedding with Bootstrapped Representations for Sparse Networks
deep-learning pytorch generative-adversarial-network network-visualization network-embedding link-prediction node-classification graph-learning network-reconstruction graph-neural-networks self-supervised-learning high-order-proximity nuclear-norm
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Mar 8, 2025 - Jupyter Notebook
This is the Capstone Project at UTD 2021. I collaborated with Adam Shaker, David Terry, and our advisor Yifei Lou to explore the different methods of matrix completion to find the most optimal way to complete the matrix.
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May 26, 2024
Hybrid CF (NMAE 0.1785), J-NCF deep learning (46.11% acc) & 1-bit matrix completion (90.11% acc) on MovieLens 100K — Python, PyTorch, NumPy
machine-learning deep-learning numpy pytorch collaborative-filtering recommender-system convex-optimization movielens matrix-completion fista nuclear-norm
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Mar 13, 2026 - Jupyter Notebook
rrpack_robust: robust reduced rank regression to heavy-tailed noise and outlier, missing data
outliers missing-data proximal-algorithms robustness reduced-rank-regression nuclear-norm scad-penalty mcp-penalty
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Jan 13, 2026 - C++
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