This paper addresses the problem of classifying observations when features are context-sensitive, especially when the testing set involves a context that is different from the tra...
This paper deals with segmentation of the lung tissues from low dose CT (LDCT) scans of the chest. Goal is correct segmentation as well as maintaining the details of the lung regi...
Factorization algorithms for recovering structure and motion from an image stream have many advantages, but they usually require a set of well tracked features. Such a set is in g...
We present a new online learning algorithm in the selective sampling framework, where labels must be actively queried before they are revealed. We prove bounds on the regret of ou...
In this paper we compare the performance of tree different dynamic traffic engineering algorithms exploiting path diversity in the Internet, TEXCP, TRUMP and MIRTO. We passed throu...