The design of inference algorithms for discrete-valued Markov Random Fields constitutes an ongoing research topic in computer vision. Large state-spaces, none-submodular energy-fun...
As part of an ongoing effort to understand ease of use of digital home technologies, we undertook an exploratory study of people who use their home networks for more than just bro...
Sara A. Bly, Bill N. Schilit, David W. McDonald, B...
We seek to gain improved insight into how Web search engines should cope with the evolving Web, in an attempt to provide users with the most up-to-date results possible. For this ...
Alexandros Ntoulas, Junghoo Cho, Christopher Olsto...
Statistical data is present everywhere—from governmental bodies to economics, from life-science to industry. With the rise of the Web of Data, the need for sharing, accessing, an...
Michael Hausenblas, Wolfgang Halb, Yves Raimond, L...
In this paper, we propose a novel framework using Genetic Programming to combine image database descriptors for content-based image retrieval (CBIR). Our framework is validated th...