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A first-order optimization method for learning to reconstruct opacity in computational imaging

Unknown self-occlusion in a scene with opaque objects causes the multiview reconstruction problem to become ill-posed and nonlinear. In this report we describe a scalable nonlinear optimization method for simultaneously reconstructing the object and occlusion. The approach uses a simple

keith May 24, 2021August 25, 2021 Report No Comments Read more

Quadratic Programming with Keras

This note describes how to implement and solve a quadratic programming optimization problem using a shallow neural network in Keras. A single linear layer is used with a custom one-sided loss to impose the inequality constraints. A custom kernel regularizer

keith December 29, 2019September 6, 2020 Report No Comments Read more
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