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Found 2 papers, 1 papers with code
Malaria detection from RBC images using shallow Convolutional Neural Networks
The advent of Deep Learning models like VGG-16 and Resnet-50 has considerably revolutionized the field of image classification, and by using these Convolutional Neural Networks (CNN) architectures, one can get a high classification accuracy on a wide variety of image datasets.
Plug-in Estimation in High-Dimensional Linear Inverse Problems: A Rigorous Analysis
Estimating a vector $\mathbf{x}$ from noisy linear measurements $\mathbf{Ax}+\mathbf{w}$ often requires use of prior knowledge or structural constraints on $\mathbf{x}$ for accurate reconstruction.
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