We propose a novel probabilistic method based on the Hidden Markov Model (HMM) to learn the structure of a Latent Variable Model (LVM) for query language modeling. In the proposed...
The requirements imposed on information retrieval systems are increasing steadily. The vast number of documents in today's large databases and especially on World Wide Web ca...
The application of document clustering to information retrieval has been motivated by the potential effectiveness gains postulated by the Cluster Hypothesis. The hypothesis states ...
We propose a new approach to a music search engine that can be accessed via natural language queries. As with existing approaches, we try to gather as much contextual information a...
Peter Knees, Tim Pohle, Markus Schedl, Dominik Sch...
Annotations of multimedia documents typically have been pursued in two different directions. Either previous approaches have focused on low level descriptors, such as dominant colo...