Similarity joins are important operations with a broad range of applications. In this paper, we study the problem of vector similarity join size estimation (VSJ). It is a generali...
Developing visualization applications is non-trivial and poses special challenges. This is due to the fact that typical visualization software processes a large amount of data res...
We study the joint feature selection problem when learning multiple related classification or regression tasks. By imposing an automatic relevance determination prior on the hypo...
Tao Xiong, Jinbo Bi, R. Bharat Rao, Vladimir Cherk...
In this paper, we address the problem of learning when some cases are fully labeled while other cases are only partially labeled, in the form of partial labels. Partial labels are...
In this paper we introduce a new compression technique for the connectivity of a Triangulated Irregular Network (TIN) by using Delaunay triangulation. The strategy in this paper i...
Yang-Soo Kim, Dong-Gyu Park, Ho-Youl Jung, Hwan-Gu...