Cross-domain few-shot classification (CD-FSC) aims to develop models trained on seen domains but tested unseen domains. However, the cross-domain setup poses a challenge in form of domain shift between training and testing Previous research has demonstrated that encoder can disentangle features into domain-shared domain-specific features. poorly estimated lead inadequate generalization domain. ...

Local volatilities in multi-asset models typically have no cross-asset dependency. In this talk, we propose a general framework for pricing and hedging derivatives in cross-dependent volatility (CDV) models, i.e., multi-asset models in which the volatility of each asset is a function of not only its current or past levels, but also those of the other assets. For instance, CDV models can capture...

In this work, we propose a two-autocollimator method in which all pitch angle deviations of polygon and errors rotary encoder can be calibrated simultaneously. A with any number faces calibrated. Any face the is measurement cycle one. Compared to traditional method, cross-calibration calibrates polygon. This simultaneously calibrate encoder. The depends on how many has. There are 24 cycles for ...