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- W2890621047 abstract "Image Recognition is a central task in computer vision with applications ranging across search, robotics, self-driving cars and many others. There are three purposes of this document: 1. We follow up on (Fischetti & Jo, December, 2017) and show how standard convolutional neural network can be optimized to a more sophisticated capsule architecture. 2. We introduce a MILP model based on CNN to create adversarials. 3. We compare and evaluate each network for image recognition tasks." @default.
- W2890621047 created "2018-09-27" @default.
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- W2890621047 date "2018-09-01" @default.
- W2890621047 modified "2023-09-27" @default.
- W2890621047 title "Evaluation of Neural Networks for Image Recognition Applications: Designing a 0-1 MILP Model of a CNN to create adversarials" @default.
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