Before revision:  We solve the resulting constrained optimization problem using an Augmented Lagrangian method (ALM) , where the constraint emphasizes reduction of FPR at high TPR . We present experimental results for image-based  classification applications using the CIFAR10 and an in-house medical imaging dataset  .
After revision:  We solve the resulting constrained optimization problem using an Augmented Lagrangian method (ALM) , where the constraint emphasizes reduction of FPR at high TPR . We present experimental results for image-based binary and multi-class classification applications using the CIFAR10 and an in-house medical imaging dataset .