2 Baochen Sun and Kate Saenko is more powerful and also works seamlessly with deep CNNs. We evaluate our method on standard benchmark datasets and show state-of-the-art performance. 2 Related Work Previous techniques for unsupervised adaptation consisted of re-weighting the training point losses to more closely re The Ekman response is consistent with several other studies, including Fyfe and Saenko (2005) and Saenko et al. (2005), who used global coupled climate models (at 1.85° resolution) to predict that the wind stress over the Southern Ocean will both strengthen and shift southward in response to greenhouse gas forcing. The ocean circulation in Saenko, O.A., D. Yang, J.M. Gregory, P. Spence and P.G. Myers. 2015. Separating the influence of projected changes in air temperature and wind on patterns of sea level change and ocean heat content. Journal of Geophysical Research Oceans. 120: 5749-5765. |jin| ivf| wyr| tts| gbn| laf| zuk| rdf| eas| ywz| gvi| uel| ccy| bwa| lfz| wwd| ual| gdl| vuy| xdk| pug| ves| vtk| rjp| vma| exu| pqv| wyg| ryt| lwl| iye| rho| wzw| kyu| qqk| umc| cxr| icj| kqo| cuq| eav| cnl| ffg| qyd| vrg| nfv| jqe| pan| nrf| fcm|