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Iterative Projection and Matching: Finding Structure-preserving Representatives
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README.md

Iterative Projection and Matching

implementation of the data selection algorithm proposed in:

Alireza Zaeemzadeh, Mohsen Joneidi ( shared first authorship) , Nazanin Rahnavard, Mubarak Shah: Iterative Projection and Matching: Finding Structure-preserving Representatives and Its Application to Computer Vision. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019.

  • For a quick demo using MNIST, please run python demo.py.

Requirements

irlb: Truncated SVD by implicitly restarted Lanczos bidiagonalization for Numpy! code

Citing IPM

If you use IPM in your research, please use the following BibTeX entry.

@inproceedings{zaeemzadeh2019ipm,
    title = {{Iterative Projection and Matching: Finding Structure-preserving Representatives and Its Application to Computer Vision}},
    year = {2019},
    booktitle = {Computer Vision and Pattern Recognition, 2019. CVPR 2019. IEEE Conference on},
    author = {Zaeemzadeh, Alireza and Joneidi, Mohsen and Rahnavard, Nazanin and Shah, Mubarak}
}

Project Webpages

Presentation

UCF Center for Research in Computer Vision (CRCV)

UCF Communications and Wireless Networks Lab (CWNlab)

For inquiries, please contact zaeemzadeh -at- knights.ucf.edu.

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