Technical Reports - Query Results
Your query term was 'number = 2013-01'1 report found
- OFAI-TR-2013-01 (
169kB PDF file)
Using mutual proximity for novelty detection in audio music similarity
- Arthur Flexer, Dominik Schnitzer
- Mutual proximity rescales distance spaces to avoid negative effects of the curse of dimensionality. It results in probabilistic estimates of the proximity of data objects. We use these probabilities directly for novelty detection, i.e. the automatic identication of unknown data not covered by training data (e.g. a new genre in genre classification). Comparing this new approach with a distance based detection method we demonstrate improved performance on a standard music data set.
Keywords: music information retrieval, outlier detection, hubness, curse of dimensioanlity
- Mutual proximity rescales distance spaces to avoid negative effects of the curse of dimensionality. It results in probabilistic estimates of the proximity of data objects. We use these probabilities directly for novelty detection, i.e. the automatic identication of unknown data not covered by training data (e.g. a new genre in genre classification). Comparing this new approach with a distance based detection method we demonstrate improved performance on a standard music data set.