Select to Better Learn: Fast and Accurate Deep Learning using Data Selection from Nonlinear Manifolds

Joneidi, Mohsen, Vahidian, Saeed, Esmaeili, Ashkan, Wang, Wijia, Rahnavard, Nazanin, Lin, Bill, Shah, Mubarak: Select to Better Learn: Fast and Accurate Deep Learning using Data Selection from Nonlinear Manifolds. IEEE Conference on Computer Vision and Pattern Recognition (CVPR '20) 2020.

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https://github.com/cvpr4942/CVPR-2020-Conf
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A Bayesian Approach for Asynchronous Parallel Sparse Recovery

Zaeemzadeh, Alireza, Haddock, Jamie, Rahnavard, Nazanin, Needell, Deanna: A Bayesian Approach for Asynchronous Parallel Sparse Recovery. Asilomar Conference on Signals, Systems, and Computers, 2018.

• Code Ocean

Missing spectrum-data recovery in cognitive radio networks using piecewise constant nonnegative matrix factorization

Zaeemzadeh, Alireza, Joneidi, Mohsen, Shahrasbi, Behzad, Rahnavard, Nazanin: Missing spectrum-data recovery in cognitive radio networks using piecewise constant nonnegative matrix factorization. Military Communications Conference, MILCOM 2015-2015 IEEE, IEEE 2015.

• Code Ocean

Robust Target Localization Based on Squared Range Iterative Reweighted Least Squares

Zaeemzadeh, Alireza, Joneidi, Mohsen, Shahrasbi, Behzad, Rahnavard, Nazanin: Robust Target Localization Based on Squared Range Iterative Reweighted Least Squares. 2017 IEEE 14th International Conference on Mobile Ad Hoc and Sensor Systems (MASS), IEEE 2017.

• Code Ocean

Iterative Projection and Matching: Finding Structure-preserving Representatives and Its Application to Computer Vision

Zaeemzadeh, Alireza, Joneidi, Mohsen, Rahnavard, Nazanin, Shah, Mubarak: Iterative Projection and Matching: Finding Structure-preserving Representatives and Its Application to Computer Vision. IEEE Conference on Computer Vision and Pattern Recognition (CVPR '19), Long Beach, CA, 2019.

• GitHub - Standalone Algorithm (with simple demo on MNIST)