Abstract—The permanent growth of personal music collections caused by the ongoing digital revolution asks for novel ways of organization. Traditional list based approaches are—...
Lukas Bossard, Michael Kuhn 0002, Roger Wattenhofe...
Abstract. In this paper, we present an approach to automatically detecting music band members and instrumentation using web content mining techniques. To this end, we combine a nam...
In music information retrieval (MIR), there are two main research directions, which are based either on a folder hierarchy and metadata, or on the actual acoustic content. We beli...
We propose the combination of two recently introduced methods for the interactive visual data mining of large collections of data. Both, Hyperbolic Multi-Dimensional Scaling (HMDS...
Finding objects like music albums or wines in large databases is an inherently difficult problem, especially if users do not know exactly what they are looking for. We propose th...