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On instabilities of deep learning in image reconstruction - Does AI come at a cost?
Deep learning, due to its unprecedented success in tasks such as image c...
02/14/2019 ∙ by Vegard Antun, et al. ∙
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Reconstruction of optical vector-fields with applications in endoscopic imaging
We introduce a framework for the reconstruction of the amplitude, phase ...
04/27/2018 ∙ by Milana Gataric, et al. ∙
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Bounds on the Number of Measurements for Reliable Compressive Classification
This paper studies the classification of high-dimensional Gaussian signa...
07/11/2016 ∙ by Hugo Reboredo, et al. ∙
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Mismatch in the Classification of Linear Subspaces: Sufficient Conditions for Reliable Classification
This paper considers the classification of linear subspaces with mismatc...
08/07/2015 ∙ by Jure Sokolic, et al. ∙
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Classification and Reconstruction of High-Dimensional Signals from Low-Dimensional Features in the Presence of Side Information
This paper offers a characterization of fundamental limits on the classi...
12/01/2014 ∙ by Francesco Renna, et al. ∙
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Francesco Renna
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University of Cambridge
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Universidade do Porto
