Feature selection for video retrieval applications is impractical with existing techniques, because of their high time complexity and their failure on the relatively sparse trainin...
In this paper, we propose a unified algorithmic framework for solving many known variants of MDS. Our algorithm is a simple iterative scheme with guaranteed convergence, and is m...
Arvind Agarwal, Jeff M. Phillips, Suresh Venkatasu...
The need to involve business users in process modeling is largely perceived in the context of Business Process Management systems. This can facilitate the elaboration of consistent...
Todor Stoitsev, Stefan Scheidl, Felix Flentge, Max...
In this paper we present algorithms for identifying interesting subsets of a given database of records. In many real life applications, it is important to automatically discover s...
This paper proposes a tree kernel with contextsensitive structured parse tree information for relation extraction. It resolves two critical problems in previous tree kernels for r...
Guodong Zhou, Min Zhang, Dong-Hong Ji, Qiaoming Zh...