Recently, some linear approaches to camera calibration from sphere images are proposed. In this paper, a novel linear approach is proposed by exploiting the identity constraint on...
This paper copes with the approximate minimization of Markovian energy with pairwise interactions. We extend previous approaches that rely on graph-cuts and move making techniques...
Clustering with constraints is a developing area of machine learning. Various papers have used constraints to enforce particular clusterings, seed clustering algorithms and even l...
Relational reinforcement learning (RRL) is both a young and an old eld. In this paper, we trace the history of the eld to related disciplines, outline some current work and promis...
In this short paper we introduce Helios, a flexible and efficient open source meta-search engine. Helios currently runs on the top of 16 search engines (in Web, Books, News, and A...