In this paper, we study the problem of transfer learning from text to images in the context of network data in which link based bridges are available to transfer the knowledge bet...
Abstract. We design an effective shape prior embedded human silhouettes extraction algorithm. Human silhouette extraction is found challenging because of articulated structures, po...
Traditional machine learning makes a basic assumption: the training and test data should be under the same distribution. However, in many cases, this identicaldistribution assumpt...
The study of transportability aims to identify conditions under which causal information learned from experiments can be reused in a different environment where only passive obser...
: For many years, physical asset indicators were the main evidence of an organization’s successful performance. However, the situation has changed following the revolution of inf...