Feature Selection with Annealing: A generic method for feature selection and model learning that outperforms boosting and methods based on sparsity inducing penalties such as L1, SCAD, and MCP.
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- A. Barbu, Y. She, L. Ding, G. Gramajo. Feature Selection with Annealing for Computer Vision and Big Data Learning. IEEE PAMI 39, No. 2, 272–286, 2017. (arxiv, link, Matlab code, Github)
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