The KDD process aims at the discovery and extraction of “useful” knowledge (such as interesting patterns, classification, rules etc) from large data repositories. A widely rec...
The early success of link-based ranking algorithms was predicated on the assumption that links imply merit of the target pages. However, today many links exist for purposes other ...
In this contribution various objective measures that can be used to evaluate speech dereverberation algorithms by means of listeningroom compensation (LRC) are compared to subject...
Stefan Goetze, Eugen Albertin, Markus Kallinger, A...
The Structural SIMilarity (SSIM) index is a novel method for measuring the similarity between two images. The SSIM index can be viewed as a quality measure of one of the images bei...
Abstract. In this paper, the quality of quantization and visualization of vectors, obtained by vector quantization methods (self-organizing map and neural gas), is investigated. A ...