In this paper, we first introduce a monotone mapping and its resolvent in general metric spaces.Then, we give two new iterative methods  by combining the resolvent method with Halpern's iterative method and viscosity approximation method for  finding a fixed point of monotone mappings and a solution of variational inequalities. We prove convergence theorems of the proposed iterations  in ...

Injecting adversarial examples during training, known as adversarial training, can improve robustness against one-step attacks, but not for unknown iterative attacks. To address this challenge, we first show iteratively generated adversarial images easily transfer between networks trained with the same strategy. Inspired by this observation, we propose cascade adversarial training, which transf...

State-of-the-art data analysis in production allows engineers to characterize reservoirs using production data. This saves companies large sums that should otherwise be spend on well testing and reservoir simulation and modeling. There are two shortcomings with today’s production data analysis: It needs bottom-hole or well-head pressure data in addition to data for rating reservoirs’ characteri...

Strains are applied to the integration procedure in nonlinear increments todecrease the errors arising from the linearization of plastic equations. Two deformationvectors are used to achieve this. The first vector is based on the deformations obtained bythe first iteration of the equilibrium step, and the second is acquired from the sum of thesucceeding iterations. By applying these vectors and...

Huaiyu Dai*, Student Member, IEEE, and H. Vincent Poor, Fellow, IEEE Department of Electrical Engineering, Princeton University Princeton, NJ 08540 Tel: (609) 258-4634 Fax: (609) 258-1560 Email: [email protected], [email protected] Abstract: Space-time processing and multiuser detection are two promising techniques for combating multipath distortion and multiple-access interference in C...

The increasing availability of large archives of digital images has pushed the need for effective image retrieval systems. Relevance Feedback (RF) techniques, where the user is involved in an iterative process to refine the search, have been recently formulated in terms of classification paradigms in low-level feature spaces. Two main issues arises in this formulation, namely the small size of ...