Few-shot learning has received increasing attention and witnessed significant advances in recent years. However, most of the few-shot methods focus on optimization training process, metric sample generating networks. They ignore importance ground-truth feature distributions classes. This paper proposes a direction-driven weighting method to make classes precisely fit distributions. The learned ...

Abstract Derivation of physical properties galaxies using spectral energy distribution (SED) fitting is a powerful method, but can suffer from various systematics arising model assumptions. Previously, such biases were mostly studied in the context individual galaxies. In this study, we investigate potential performing SED on combined light two galaxies, as would be case postmerger systems. We ...

We present piXedfit, pixelized spectral energy distribution (SED) fitting, a Python package that provides tools for analyzing spatially resolved properties of galaxies using multiband imaging data alone or in combination with integral field spectroscopy (IFS) data. piXedfit has six modules can handle all tasks the SED fitting. The fitting module uses Bayesian inference technique two kinds poste...

Abstract This paper proposes a simulation algorithm of transition probability function based on logistic distribution. method mainly models popularity and state functions by acquiring consumers' music preferences likes. Through this mathematical model, obtains the best results that are more in line with consumer preference. conducts experiment collecting Netease cloud data. Finally, through com...