Correlation Clustering was defined by Bansal, Blum, and Chawla as the problem of clustering a set of elements based on a possibly inconsistent binary similarity function between e...
: The work of corporate finance professionals is information intensive. In spite of that the practices and motivations of their information preferences have been researched very li...
Simulations often generate large amounts of data that require use of SciVis techniques for effective exploration of simulation results. In some cases, like 1D theory of fluid dyn...
Kresimir Matkovic, Mario Jelovic, Josip Juric, Zol...
Existing perceptual models of audio quality, such as PEAQ, were designed to measure audio codec performance and are not well suited to evaluation of audio source separation algorit...
Brendan Fox, Andrew T. Sabin, Bryan Pardo, Alec Zo...
This paper reviews characteristics of human face recognition that should be reflected in any psychologically plausible computational model of face recognition. We then summarise r...