Domain generalization is the task of learning models that generalize to unseen target domains. We propose a simple yet effective method for domain generalization, named cross-domain ensemble distillation (XDED), learns domain-invariant features while encouraging model converge flat minima, which recently turned out be sufficient condition generalization. To this end, our generates an output log...

The transient flow analyzing by the frequency domain method (FDM) is computationally much faster than the method of characteristic (MOC) in the time domain. FDM needs no discretization in time and space, but requires the linearization of governing equations and boundary conditions. Hence, the FDM is only valid for small perturbations in which the system’s hydraulics is almost linear. In this st...

The IP3R calcium release channel has been simulated using a stochastic simulation algorithm (SSA;Gillespie algorithm) and De young-Keiser model. A set of different concentration for Cat' and IP3 havebeen used. Considering the Number of molecules in each state, a non linear behavior of the system can beseen clearly. The inhibiting role of the Ca+2 on the open state (X110) has been studied. The d...

The present work solves two-dimensional Advection-Dispersion Equation (ADE) in a semi-infinite domain. A variable source concentration is regarded as the monotonic decreasing function at the source boundary (x=0). Depth-dependent variables are considered to incorporate real life situations in this modeling study, with zero flux condition assumed to occur at the exit boundary of the domain, i.e....

Despite of the substantial progress visual object detection, models trained in one video domain often fail to generalize well others due change camera configurations, lighting conditions, and person views. In this paper, we present Domain Contrast (DC), a simple yet effective approach inspired by contrastive learning for training adaptive detectors. DC is deduced from error bound minimization p...

the radial trace transform was introduced by the stanford exploration project many years ago (ottolini, 1979 and claerbout, 1983), primarily for use in migration and imaging applications. it has been shown subsequently, because of its particular geometry, to be very useful for wavefield separation (claerbout, 1983) and coherent noise attenuation (henley, 1999). the radial trace transform, unlik...